基于3GPP LTE的MIMO信道建模与信道测量
|
摘要
第三代合作伙伴计划(3GPP)是第三代移动通信(3G)以及后三代移动通信(B3G)技术标准最具影响力的制定者,近几年来,宽带码分多址(WCDMA)、时分同步码分多址(TD-SCDMA)、高速数据包接入(HSPA)等各种系统已经逐步在全球大规模部署,同时,3GPP又启动了长期演进(LTE)、HSPA+、LTE-Advanced等项目。
LTE系统采用多输入多输出(MIMO)和正交频分复用(OFDM)作为两大主要技术以应对系统大容量与高频谱利用率等需求。MIMO在通信链路两端均采用多天线系统,同时发射接收信号,充分利用系统空间资源,在无需增加发射功率和频谱资源的情况下,提高系统性能。在当今无线通信技术发展中扮演越来越重要的角色,MIMO相关技术如信号处理、编解码、调制解调以及资源管理等研究一直处于前沿领域,然而,MIMO系统仍有很多亟待研究的问题。本文是基于3GPP LTE系统架构的MIMO技术研究,主要内容包括以下几个方面:
第一.系统的研究MIMO信道中信号的空间相关性及其对MIMO系统性能的影响,为基于3GPP LTE的MIMO信道建模奠定理论基础,为信道容量以及MIMO其他技术的研究提供参考依据。首先,在考虑四天线结构、互耦因素、典型功率角谱分布(PAS)、天线间距等系统特征参数的情况下,推导接收端信号的相关系数,并对其进行数值分析,指出MIMO系统典型参数与相关系数的关联,弥补了现有研究的不足;其次,在评估信号空间相关系数的基础上,基于Kronecker模型解释信号相关性和信道相关性的区别联系,并利用Kronecker理论推导信道相关矩阵模型;最后,结合MIMO系统研究的重点,分析相关性对MIMO系统性能起重要作用的根本原因。
第二.系统的研究MIMO无线信道建模。指出传统单入单出(SISO)信道建模与MIMO信道建模的本质区别,以及MIMO信道建模理论研究的关键;其次,基于MIMO信道建模方法分析目前较典型的MIMO信道模型,提出MIMO信道模型准确性仿真验证方法;再次,基于3GPP 25.996协议,用射线跟踪建模法和相关矩阵建模法分别对MIMO信道建模,即基于射线跟踪理论推导出MIMO信道在空间分集、极化分集、混合分集以及直达径(LOS)场景下的信道传输函数解析式,然后,在此结论基础上,用相关矩阵法推导出MIMO信道空间相关矩阵、极化相关矩阵以及时间相关矩阵的形式;最后,推导并数值分析空间、时间相关性对信道容量的影响,以及提出两种方法建立的MIMO信道模型的准确性仿真验证流程。
第三.系统的研究MIMO信道测量与估计。主要对象:功率时延谱(PDP)、PDP漂移、多普勒功率谱(DPSD)、多普勒频移、波束成形(BF)、多径径数、相干带宽、相干时间、多径衰落相关性、接收信号总功率衰落以及典型天线结构下信道冲激响应(CIRs)的相关性等。首先是原理部分,1.介绍如何得到CIRs以及PDP,提出如何通过它们推导出信道其他参数。2.提出一种简单有效的方法估计最大多普勒频移,分析实际系统中影响估计准确性的因素并提出算法修正,并验证。3.提出在有限反馈信道状态信息(CSI)时的BF算法纠正方案、验证以及算法评估;其次,针对以上原理,根据3GPP LTE协议配置参数,进行测量实验,通过对实验数据提取CIRs、PDP以及其他信道传播特性参数,分析结果,并验证相关结论。最后对整个LTE样机系统的软件结构进行介绍,并例举其在仿真平台Linkstar上的实现。
3GPP is the most influential establisher of technical reports and technical specifications of 3G and B3G In recent years, kinds of systems like WCDMA, TD-SCDMA, and HSPA have been widely deploying all over the world, in addition, 3GPP initiated some new projects of long time evolutions including LTE, HSPA+, and LTE-Advanced.
LTE system adopts MIMO and OFDM as its two most important fundamental techniques, so as to respond to the requirements of large capacity and high spectral efficiency. MIMO system adopts multi-antenna systems on both sides of sender and receiver, sending and receiving signals at the same time, fully making use of space resources, improving system performance without extra transmitting power and spectrum resource. MIMO more and more play an important role in the current development of wireless communications. Some relevant techniques of MIMO like signal processing, encoding/decoding, modulation/demodulation, and resource management are at the forefront of research and design of mobile communications. However, there are still many remaining problems of MIMO system are urgently wanted to be studied and solved. This dissertation mainly discusses the MIMO theories which are based on the framework of 3GPP LTE system, some new strategies are presented as follows:
1. This part is mainly concerned with the systematic analysis of the signal correlations in MIMO channels, this analysis of signal correlations for the MIMO systems establishes solid theoretical basis for MIMO channel modeling, channel capacity, and so on. Firstly, providing four-antennas on receiver, mutual coupling, four kinds of classical PAS, and antenna spacing which characterise the MIMO systems, mathematically deducing and analyzing the expressions of signal correlations on receivers, so that explaining the relationships of correlations and parameters of MIMO systems; Secondly, explaining the differences between signal correlation and channel correlation based on the above-mentioned expressions and the Kronecker model, then analyzing the channel correlation by Kronecker theories; Thirdly, combining with some key techniques of MIMO, analyzing the root causes of the important role which the correlation plays in the performance of MIMO systems.
2. This part is mainly concerned with the MIMO wireless channel modelling. Firstly, discussing fundamental differences between traditional SISO channel modelling and MIMO channel modelling, the key methods of MIMO channel modelling theory; Secondly, analyzing some current classical MIMO channel models with basic modeling methods, and offers the validation procedures of simulation of MIMO channel models; Thirdly, based on the above-mentioned discussion, separately making use of ray-tracing and correlation matrix to model the MIMO channel based on the 3GPP 25.996 technical report, that is, expressions of channel transfer function of spatial diversity, polarization diversity, hybrid diversity and LOS situation are derived respectively by ray-tracing, based on the results, the expressions of spatial correlation matrix, polarization correlation matrix and time correlation matrix are derived; Finally, deducing and mathematically analyzing the impacts on the channel capacity from channel spatial correlation and time correlation, then offering the validation procedure of simulation of MIMO channel models which established by two the above methods respectively.
3. This part is mainly concerned with the measurements and estimations of MIMO channel. The emphasis are: PDP, PDP shifts, DPSD, Doppler spread, BF, multi-path number, coherence bandwidth, coherence time, correlation of multi-path fading, power fading of the receiving signals, and correlation of CIRs of given antenna architectures, etc. Firstly, principles can be divided into three parts: l).How to get CIRs, PDP, by which other parameters can be obtained. 2). Proposing a simple and effect plan for estimating the Maximum Doppler spread, discussing the practical factors which influence the accuracy of the estimation of Doppler spread, validating the conclusions by simulation. 3). Proposing an improved plan and assessment ways for the BF algorithm under a limited CSI feedback MIMO system; Secondly, configuring communication scenarios based on above-mentioned principles and 3GPP LTE specifications, obtaining and analyzing the CIRs, PDP, and other channel parameters, so as to draw some conclusions about MIMO channel and propagation. Finally, introducing the whole framework of LTE prototyple's software system, and exemplifying its implementation on a simulation platform named Linkstar.
LTE系统采用多输入多输出(MIMO)和正交频分复用(OFDM)作为两大主要技术以应对系统大容量与高频谱利用率等需求。MIMO在通信链路两端均采用多天线系统,同时发射接收信号,充分利用系统空间资源,在无需增加发射功率和频谱资源的情况下,提高系统性能。在当今无线通信技术发展中扮演越来越重要的角色,MIMO相关技术如信号处理、编解码、调制解调以及资源管理等研究一直处于前沿领域,然而,MIMO系统仍有很多亟待研究的问题。本文是基于3GPP LTE系统架构的MIMO技术研究,主要内容包括以下几个方面:
第一.系统的研究MIMO信道中信号的空间相关性及其对MIMO系统性能的影响,为基于3GPP LTE的MIMO信道建模奠定理论基础,为信道容量以及MIMO其他技术的研究提供参考依据。首先,在考虑四天线结构、互耦因素、典型功率角谱分布(PAS)、天线间距等系统特征参数的情况下,推导接收端信号的相关系数,并对其进行数值分析,指出MIMO系统典型参数与相关系数的关联,弥补了现有研究的不足;其次,在评估信号空间相关系数的基础上,基于Kronecker模型解释信号相关性和信道相关性的区别联系,并利用Kronecker理论推导信道相关矩阵模型;最后,结合MIMO系统研究的重点,分析相关性对MIMO系统性能起重要作用的根本原因。
第二.系统的研究MIMO无线信道建模。指出传统单入单出(SISO)信道建模与MIMO信道建模的本质区别,以及MIMO信道建模理论研究的关键;其次,基于MIMO信道建模方法分析目前较典型的MIMO信道模型,提出MIMO信道模型准确性仿真验证方法;再次,基于3GPP 25.996协议,用射线跟踪建模法和相关矩阵建模法分别对MIMO信道建模,即基于射线跟踪理论推导出MIMO信道在空间分集、极化分集、混合分集以及直达径(LOS)场景下的信道传输函数解析式,然后,在此结论基础上,用相关矩阵法推导出MIMO信道空间相关矩阵、极化相关矩阵以及时间相关矩阵的形式;最后,推导并数值分析空间、时间相关性对信道容量的影响,以及提出两种方法建立的MIMO信道模型的准确性仿真验证流程。
第三.系统的研究MIMO信道测量与估计。主要对象:功率时延谱(PDP)、PDP漂移、多普勒功率谱(DPSD)、多普勒频移、波束成形(BF)、多径径数、相干带宽、相干时间、多径衰落相关性、接收信号总功率衰落以及典型天线结构下信道冲激响应(CIRs)的相关性等。首先是原理部分,1.介绍如何得到CIRs以及PDP,提出如何通过它们推导出信道其他参数。2.提出一种简单有效的方法估计最大多普勒频移,分析实际系统中影响估计准确性的因素并提出算法修正,并验证。3.提出在有限反馈信道状态信息(CSI)时的BF算法纠正方案、验证以及算法评估;其次,针对以上原理,根据3GPP LTE协议配置参数,进行测量实验,通过对实验数据提取CIRs、PDP以及其他信道传播特性参数,分析结果,并验证相关结论。最后对整个LTE样机系统的软件结构进行介绍,并例举其在仿真平台Linkstar上的实现。
3GPP is the most influential establisher of technical reports and technical specifications of 3G and B3G In recent years, kinds of systems like WCDMA, TD-SCDMA, and HSPA have been widely deploying all over the world, in addition, 3GPP initiated some new projects of long time evolutions including LTE, HSPA+, and LTE-Advanced.
LTE system adopts MIMO and OFDM as its two most important fundamental techniques, so as to respond to the requirements of large capacity and high spectral efficiency. MIMO system adopts multi-antenna systems on both sides of sender and receiver, sending and receiving signals at the same time, fully making use of space resources, improving system performance without extra transmitting power and spectrum resource. MIMO more and more play an important role in the current development of wireless communications. Some relevant techniques of MIMO like signal processing, encoding/decoding, modulation/demodulation, and resource management are at the forefront of research and design of mobile communications. However, there are still many remaining problems of MIMO system are urgently wanted to be studied and solved. This dissertation mainly discusses the MIMO theories which are based on the framework of 3GPP LTE system, some new strategies are presented as follows:
1. This part is mainly concerned with the systematic analysis of the signal correlations in MIMO channels, this analysis of signal correlations for the MIMO systems establishes solid theoretical basis for MIMO channel modeling, channel capacity, and so on. Firstly, providing four-antennas on receiver, mutual coupling, four kinds of classical PAS, and antenna spacing which characterise the MIMO systems, mathematically deducing and analyzing the expressions of signal correlations on receivers, so that explaining the relationships of correlations and parameters of MIMO systems; Secondly, explaining the differences between signal correlation and channel correlation based on the above-mentioned expressions and the Kronecker model, then analyzing the channel correlation by Kronecker theories; Thirdly, combining with some key techniques of MIMO, analyzing the root causes of the important role which the correlation plays in the performance of MIMO systems.
2. This part is mainly concerned with the MIMO wireless channel modelling. Firstly, discussing fundamental differences between traditional SISO channel modelling and MIMO channel modelling, the key methods of MIMO channel modelling theory; Secondly, analyzing some current classical MIMO channel models with basic modeling methods, and offers the validation procedures of simulation of MIMO channel models; Thirdly, based on the above-mentioned discussion, separately making use of ray-tracing and correlation matrix to model the MIMO channel based on the 3GPP 25.996 technical report, that is, expressions of channel transfer function of spatial diversity, polarization diversity, hybrid diversity and LOS situation are derived respectively by ray-tracing, based on the results, the expressions of spatial correlation matrix, polarization correlation matrix and time correlation matrix are derived; Finally, deducing and mathematically analyzing the impacts on the channel capacity from channel spatial correlation and time correlation, then offering the validation procedure of simulation of MIMO channel models which established by two the above methods respectively.
3. This part is mainly concerned with the measurements and estimations of MIMO channel. The emphasis are: PDP, PDP shifts, DPSD, Doppler spread, BF, multi-path number, coherence bandwidth, coherence time, correlation of multi-path fading, power fading of the receiving signals, and correlation of CIRs of given antenna architectures, etc. Firstly, principles can be divided into three parts: l).How to get CIRs, PDP, by which other parameters can be obtained. 2). Proposing a simple and effect plan for estimating the Maximum Doppler spread, discussing the practical factors which influence the accuracy of the estimation of Doppler spread, validating the conclusions by simulation. 3). Proposing an improved plan and assessment ways for the BF algorithm under a limited CSI feedback MIMO system; Secondly, configuring communication scenarios based on above-mentioned principles and 3GPP LTE specifications, obtaining and analyzing the CIRs, PDP, and other channel parameters, so as to draw some conclusions about MIMO channel and propagation. Finally, introducing the whole framework of LTE prototyple's software system, and exemplifying its implementation on a simulation platform named Linkstar.
引文
[1]闻立群,胡海波,庾志成等信息产业部电信研究院,4G技术发展特征及趋势分析[J],通信世界,2008,1:B3-B4;
[2]X.H.Yu,G.Chen,M Chen et al.Toward Beyond 3G:The FUTURE Project in China[J].IEEE Communication Magazine,Mar.2005,Vol.43.:61-68;
[3]崔春风,王晓云。3GPP LTE-3G向4G演进的关键一步[J]。电信网技术,2005,9(9):2-4;
[4]F.Bauer et al,Synthesis Report on Worldwide Research on 4G Systems[R],IST-2001-32620,Matrice,D7.1,Sept30,2003;
[5]沈嘉,索士强,全海洋。3GPP长期演进(LTE)技术原理与系统设计[M]。人民邮电出版社,北京,2009:
[6]Agilent Technolgoies,应对MIMO信道建模和仿真测试遇到的挑战应用说明[Z],北京,2008;
[7]Klaus I.Pedersen,J.B.Andersen,P.Mogensen,A Stochastic Multiple- Input-Multiple -Output Radio Channel Model for Evaluation of Space-Time Coding Algorithms[C],Vehicular Technology Conference,2000,Vol.2:893-897;
[8]Nelson Costam,B.A.Sc.Wideband MIMO Channal Models:Theory and Practice [D].McMaster University,Canada.2007;
[9]吴湘霖,非理想系统假设下阵列信号多信源多参数联合估计[D],西安,西北工业大学博士学位论文,2005:
[10]Bello P.Characterization of Randomly Time-Variant Linear Channels[J].IEEE Transactions on Communications,1963,11:360-393;
[11]T A.A Modified Model for he Fading Signal at Mobile Radio Channel[J].IEEE Transactions on Vehicular Technology,1979,Vol.VT-28:182-203;
[12]J.ANDERSEN,T.RAPPAPORT,S.YOSHIDA.Propagation Measurements and Models for Wireless Communications Channels[J].IEEE Communications M agazine,1995,33(1):42-49;
[13]W.C.JAKES et al.Microwave Mobile Communications[M].IEEE Press,1993;
[14]L.SCHUMACHER,K.I.PEDERSEN,P.E.MOGENSEN.From Antenna Spacing to Theoretical Capacities-Guidelines for Simulating MIMO Systems[C].Proceedings of 13th IEEE International Symposium on Personal Indoor Mobile and Radio Communications,2002;
[15]T.RAPPAPORT著,蔡涛等译。无线通信原理与应用[M]。电子工业出版,1999;
[16]W.C.JAKES.Micmwave Mobile Communications[Z].IEEE Press,1974;
[17]K.I.PEDERSEN.Antenna Arrays in Mobile Communications:Channel Modeling and Receiver Design for DS-CDMA Systems[D],Alborg University,2000;
[18]高凯。MIMO信道的建模、仿真及无线衰落信道的Markov模型研究[D],长沙,国防科学技术大学博士论文,2006;
[19]肖海林。新一代无线通信系统中的MIMO信道建模与信道估计[D],成都,电子科技大学博士学位论文,2007;
[20]黄韬,袁超伟,杨睿哲,刘鸣,MIMO相关技术与应用[M].北京,机械工业出版社,2007:
[21]C.Waldschmidt,J.V.Hagen,W.Wiesbeck,Influence and Modeling of Mutual Coupling in MIMO and Diversity Systems[C],Antennas and Propagation Society International Symposium,2002 vol.3:190;
[22]W.C.Y.Lee,Effects on Correlation Between Two Mobile Radio Base-Station Antennas[J],IEEE Transactions on Vehicular Technology,November 1973,Vol.22(4):130-140;
[23]J.P.Kermoal,L.Schumacher,P.E.Pedersen,Experimental Iinvestigation of Correlation Properties of MIMO Radio Channels for Indoor Pieocell Scenarios[C],Vehicular Technology Conference,2000,Vol.1:14-21;
[24]李纪。互耦对MIMO信道空间相关特性的影响[J],系统工程与电子技术,2006,vol28(10):1473-1476;
[25]李纪,张尔扬。无线MIMO信道空时相关特性分析[J],系统工程与电子技术,2006,10,vol28(10):1473-1476;
[26]F.Adachi,M.T.Feeney,A.G.Williamson,and J.D.Parsons,"Crosscorrelation between the Envelopes of 900 MHz Signals Received at a Mobile Radio Base Station Site",lEE Proceedings,Vol.133,Pt.F,1996.No.6:506-512;
[27]R.G.Vaughan,Antenna Diversity in Landmobile Communications[D],Alborg University,Denmark,1985;
[28]P.C.F.Eggers,J.Toftgard,and A.M.Oprea,Antenna Systems for Base Station Diversity in Urban Small and Micro Cells[J],IEEE Journal on Select Areas in Communications,September 1993,vol.11(7):1046-1057;
[29]Jr.W.C.Jakes,Microwave Mobile Communications[M],John Wiley and Sons,Inc,1974;
[30]W.C.Y.Lee,Mobile Communications Engineering[M],McGraw-Hill Book Company,1982;
[31]Jianxia Luo,J.R.Zeidler,A Statistical Simulation Model for Correlated Nakagami Fading Channels[J],Communication Technology Proceedings,2000,Vol.2:1680- 1684;
[32]K.Pedersen,P.E.Mogensen,B.H.Fleury,Spatial Channel Characteristics in Outdoor Environments and Their Impact on BS Antenna System Performance[C].Vehicular Technology Conference,1998 Vol.2:719-723;
[33]J.Salz,J.H.Winters,Effect of Fading Correlation on Adaptive Arrays in Digital Mobile Radio,Vehicular Technology,1994 Vol.43(4):1049-1057;
[34]D.Aszetly,On antenna Arrays in Mobile Communication Systems:Fast Fading and GSM Base Station Receiver Algorithm[Z],Royal institute of Technology,Stockholm,Sweden,1996;
[35]李忻。新一代无线通信系统中的MIMO信道建模与多天线设计研究[D],成都,电子科技大学博士学位论文,2005;
[36]李忻,聂在平.MIMO信道中衰落信号的空域相关性评估[J],电子学报,2004,Vol.32(12):1949-1953;
[37]Chizhik D,Rashid-Farrokhi F,Ling J,Lozano A.Effects of Antenna Separation on the Capacity of BLAST in Correlated Channels[J].IEEE Comm.Lett,2000,4(11):337-339;
[38]Telatar IE.Capacity of Multi-antenna Gaussian Channels[J].Eur,Trans on Telecomm,1999,10(6):585-595;
[39]D.Chizhik,G.J.Foschini,and R.A.Valenzuela,Capacities of Multi-element Transmit and Receive Antennas:Correlations and Keyholes[J],Electronics,Letters.2000 June22,Vo136(13):1019-1100;
[40]Da-Shan Shiu,G.J.Foschini,M.J.Gans,J.M,Kahn,Fading Correlation and its Effect on the Capacity of Multielement Antenna Systems[J],Communications, 2000 Vol.48(3):502-513;
[41]李忻,聂在平,天线阵列方位对MIMO无线信道性能的影响[J],电子与信息学报,2005.9(27):1433-1436;
[42]李仲令,现代无线与移动通信技术[M],科学出版社,北京,2006;
[43]Apichart Intarapanich.Broadband MIMO Wireless Systems:Channel Measurement and Modeling[D],University of Calgary.Canada.2005;
[44]刘鸣,智能天线技术与应用[M],机械工业出版社,北京,2007;
[45]Apichart Intarapanich.Broadband MIMO Wireless Systems:Channel Measurement and Modelling[D].University of Calgary,Canada,2005;
[46]丛进,基于二阶统计特性的MIMO系统盲辨识[D],南京,东南大学硕士论文,2005;
[47]3GPP and 3GPP2,TSG,SCM-134 Text v6.0,Spatial Channel Model Text Description[S],Lucent,Nokia,Siemens,and Ericsson,April,2003;
[48]莫锦军,隐身目标低频带电电磁散射特性研究[D]。长沙,国防科学技术大学博士学位论文,2004;
[49]Kermoal J P,Schumacher L,Pedersen K I,et al.A Stochastic MIMO Radio Channel Model with Experimental Validation[J].IEEE Journal on Selected Areas in Communication,2002,20(6):1211-1226;
[50]K.I.Pedersen,J.B.Andersen,J.P.Kermoal,and P.Mogensen,A Stochastic Multiple-Input-Multiple-Output Radio Channel Model for Evaluation of Space-Time Coding Algorithms[C],IEEE Vehicular Technology Conference VTC[C]2000,September,Boston,USA,Vol.2:893-897;
[51]Stephenne A,Champagne B.Effective Multi-Path Vector Channel Simulator for Antenna Array Systems[J].IEEE Transactions on Vehicular Technology,2000,49(6):2370-2381;
[52]Olmos J J,Gelonch A,Casadevall F J,et al.Design and Implemention of a Wide-band Real-Time Mobile Channel Emulator[J].IEEE Transactions on Vehicular Technology,1999,48(3):746-764;
[53]T A.A Modified Model for The Fading Signal at Mobile Radio Channel[J].IEEE Transactions on Vehicular Technology,1979,VoI.VT-28:182-203;
[54]Gesbert.D,Bolcskei.H,Gore.D,Paulraj.A,Outdoor MIMO Wireless Channels: Models and Performance Prediction [J], Communications, IEEE Transactions,2002 Vol.50 (12): 1926-1934;
[55] Lucent, Nokia, Siemens, and Ericsson, A Standardized Set of MIMO Radio Propagation Channels[J], Tech. Rep. 3GPP TSG R1-01-1179,2001;
[56] M.Steinbauer, A.F. Molisch, and E. Bonek. The Double-Directional Radio Channel [J], IEEE Antennas and Propagation Magazine, August 2001, Vol. 43, no.4:51-63;
[57] E. Zollinger (editor), Wideband Directional Channel Model and Measurement Campaign [J], IST-1999-10741 Deliverable 2.1,2000, www.ist-asilum.org:
[58] G. German, Q. Spencer, L. Swindlehurst, and R. Valenzuela, Wireless Indoor Channel Modeling: Statistical Agreement of Ray Tracing Simulations and Channel Sounding Measurements[J], Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001,Vol.4: 2501-2504;
[59] A. Burr, Evaluation of Capacity of Indoor Wireless MIMO Channel Using Ray Tracing[J], 2002 International Zurich Seminar on Broadband Communications Access Transmission Networking., February 2002:281 -286;
[60] P.F. Driessen and GJ. Foschini, On the Capacity Formula for Multiple-Input-Multiple-Output Wireless Channels: A Geometric Interpretation [J], IEEE Transactions on Communications, February 1999, Vol. 47(2): 173-176;
[61] D.S. Shiu, GJ. Foschini, M.J. Gans, and J.M. Kahn, Fading Correlation and Its Effects on the Capacity of Multielement Antenna Systems[J], IEEE Transactions on Communications, March 2000,vol. 48(3) :502-513;
[62] IMST-GmbH, Microcell Wideband Channel Model[R], Tech. Rep. 3GPP TSG R1-01-0992,2001;
[63] A.M. Sayeed, Modeling and capacity of realistic spatial MIMO Channels[J],IEEE ICASSP'2001, May 2001,Vol. 4:2489-2492;
[64] A. Burr, Channel Capacity Evaluation of Multi-Element Antenna Sytems Using a Spatial Channel Model [P], COST 259 TD (00)006, January 2000, Valencia,Spain;
[65] T. Svantesson, A Physical MIMO Radio Channel Model for Multi-element Multipolarized Antenna systems[C], IEEE VTS 54th Vehicular Technology Conference, VTC 2001 Fall, Vol. 2:1083 -1087;
[66] R.S. Thoma, D. Hampicke, A. Ritcher, and G Sommerkorn, Measurement and Identification of Mobile Radio Propagation Channels[C], IEEE Instrumentation and Measurement Technology Conference , Budapest, Hungary ,May 2001:1163-1170;
[67] M. Stege, J. Jelitto, M. Bronzel, and G Fettweis, A Multiple-Input- Multiple-Output Channel Model for Simulation of Tx- and Rx-diversity Wireless Systems[C], IEEE VTC'2000 Fall Conf, September 2000, Vol.2: 833-839;
[68] D-S. Shiu, GJ. Foschini, M.J. Gans, and J.M. Kahn.Fading Correlation and Its Effect on the Capacity of Multi-Element Antenna Systems[C], IEEE International conference on Universal personal communications. ICUPC'98,October 1998, Vol.1: 429-433;
[69] Y. Kai, M. Bengtsson, B. Ottersten, D.P. McNamara, P. Karlsson, and M.A.Beach, A Wideband Statistical Model for NLOS Indoor MIMO Channels[C],IEEE Vehicular Technology Conference VTC'02 Spring, May 2002,Birmingham, AL, USA,Vol.1:370-374;
[70] Lucent Technologies, Further Link Level Results for HSDPA using Multiple Antennas[R], Tech. Rep. 3GPP TSG R1-00-1386, November 2000;
[71] D. Gesbert, H. Bolcskei, D. Gore, and A. Paulraj, MIMO Wireless Channels:Capacity and Performance Prediction[C], GLOBECOM '00, IEEE Global Telecommunications Conference, San Francisco, USA, 2000, November 27-December l,Vol. 2:1083-1088;
[72] A. Sibille, Keyholes and MIMO Channel Modelling [P], COST 273 TD (01)017,Bologna, Italy, October 2001;
[73] MIMO Rapporteur, MIMO Discussion Summary[R], Tech. Rep. 3GPP TSG R1-02-0181,2001;
[74] Lucent, MIMO System Level Channel Model[R], Tech. Rep. 3GPP TSG R1-02-0548,2002;
[75] L.M. Correia, Wireless Flexible Personalised Communications [P]. COST 259:European Co-operation in Mobile Radio Research, Wiley, 2001;
[76] Lucent Technologies, Proposal for a Unified Spatial Channel Model[R]. Tech.Rep. 3GPP TSG R1-01-0722, 2001;
[77] D. Chizhik, GJ. Foschini, M.J. Gans, and R.A. Valenzuela, Keyholes Correlations and Capacities of Multielement Transmit and Receive Antennas[J],IEEE Transactions on Wireless Communications, April 2002,vol. 1(2): 361-368;
[78] D.Gesbert, H.Bolcskei, D.A.Gore, and A.J.Paulraj, Performance Evaluation for Scattering MIMO Channel Models[C], 34th Asilomar Conf. Signals, Systems and Computers, Oct.2000,Vol.1:748-752;
[79] S.L.Loyka, Channel Ccapacity of MIMO Architecture Using the Exponential Correlation Matrix[J], IEEE Commun.Letters, Sep.2001,5(9):369-371;
[80] J.W.Wallace and M.A.Jensen, Statistical characteristics of Measured MIMO Wireless Channel Data and Comparison to Conventional Models[C], IEEE 54th Vehi. Tech.Conf(VTC'01 Fall),Oct,2001,2:1078-1082;
[81] H.Xu, M.Gans, N.Amitay, R.A.Valenzuela, T.Sizer, R.Storz, MIMO Channel Capacity for Fixed Wireless:Measurements and Models[C], Proc.IEEE 54th Vehi. Tech.Conf(VTC01 Fall),Oct,2001,2:1068-1072;
[82] J.P.Kermoal, L.Schumacher, F.Frederiksen, and P.E.Mogensen, Polarization Diversity in MIMO Radio Channels: Experimental Validation of A Stochastic Model and Performance Assessment[C], Proc. IEEE 54th Vehi. Tech. Conf (VTC'01 Fall), Oct,2001,1:22-26;
[83] J.Takada, K.Sakaguchi, and K.Araki, Development of High Resolution MIMO Channel Sounder For the Advanced Modeling of Wireless Channels[C], Proc.Asia-Pacific Microwave Conf.(APMC'01).Dec.2001.Vol.2:563-568;
[84] A.Lozano and C.Papadias, Layered Space-time Receivers for Frequency-Selective Wireless Channels [J], IEEE Trans.Commun, Jan. 2002, 50(1) :65-73;
[85] S.Loyka and G.Tsoulos, Estimating MIMO System Performance Using the Correlation Matrix Aapproach[J], IEEE Commun.Letters, Jan.2002,6(1):19-22;
[86] D.B.Simth, An Application of a Generalised Jakes Model for MIMO Channels [R], Proc.Workshop on the Application of Radio Science (WARS'02), Leura,NSW Australia,Feb,2002;
[87] D.Chizhik, F.R, Farrokhi, and A,Lozano, Effect of Antenna Separation on the Capacity of BLAST in Correlated Channels[J], IEEE Commun. Letters, April 2002,4(11):337-339;
[88] A.Abdi and M.Kaveh, A Space-time Correlation Model for Multielement Antenna Systems in Mobile Fading Channels[J], IEEE J.Selected Areas in Commun. April 2002, 20(3):550-560;
[89] M.Toeltsch, J,Laurila, K.Kalliolam A.F.Molisch,and E.Bonek, Statistical Characterization of Urban Spatial Radio Channels[J], IEEE J.Selected Areas in Commun, April 2002,20(3):539-549;
[90] P.Soma, D.S.Baum, and A.J.Paulraj, Analysis and Modeling of Multiple-input multiple-output (MIMO) Radio Channel Based on Outdoor Measurements Conducted at 2.5GHz for Fixed BWA Applications[C], Proc.IEEE Inte.Conf.Commun. (ICC'02),April 2002, Vol.1:272-276;
[91] A.F.Molisch, Ageneric Model for MIMO Wireless Propagation Channels[C],Proc.IEEE Inte.Conf.Commun.(ICC'02),April 2002,Vol.1:227-282;
[92] J.W.Wallace and M.A.Jensen, Modeling the Indoor MIMO Wireless Channel[J],IEEE Trans. Antennas and Propagation, May 2002,50(5):591-599;
[93] GJ.R, Povey and D.Lever. Multiple Input Mutiple Output(MIMO)Radio Channel Models[C], Third Inte.Conf. 3G Mobile Commun. Technologies, May 2002:414-417;
[94] A.FMolisch, A Channel Model for MIMO Systems in Macro- and Microcellular Environments[C], Proc. IEEE 55th Vehi. Tech. Conf.(VTC'02), May 2002,2:655-659;
[95] A.Van Zelst, J.S.Hammerschmidt, A single Coefficient Spatial Correlation Model for Multiple-input Multiple-output(MIMO) Radio Channels[R], Proc.27th Inte.Union of Radio Science (URSI) General Assembly, Maastricht, the Netherlands,Aug, 2002;
[96] D.W.Bliss,K.W.Forsythe, A.O.Hero and A.F.Yegulalp, Environmental Issues for MIMO Capacity[J], IEEE Trans. Signal Processing, Sep.2002,50(9):2128-2142;
[97] H.Xu, D Chizhik, H.Huang, and R.Valenzuela, A Wave-based Wideband MIMO Channel Modeling Technique[R], Proc. IEEE 13th Inte. Symp, Personal. Indoor and Mobile Raido Commun.(PIMRC'02), Sept, 2002,Vol.4:1626-1630;
[98] T.Svantesson, A Double-bounce Channel Model for Multi-ploarized MIMO Systems[C], Proc. IEEE 56th Vehi. Tech. Conf. (VTC'02 Fall), Sep. 2002, 2:691 -695;
[99] A.M.Sayeed. Deconstructing Multiantenna Fading Channels[J], IEEE Trans.Signal Processing, Oct.2002, 50(10):2563-2579;
[100] K.Yu and B.Ottersten,Models for MIMO Propagation Channels: A Review[J],Wiley J.Wireless Commun. and Mobile Computing, Special Iissue on Adapative Antennas of MIMO Systems, Nov.2002,2(7):653-666;
[101] M.Lienard,MIMO Channel in Tunnels: Experimental Approach and Stochastic Model[C], Proc. 10th Inte.Conf. Telecommun. (ICT03), Feb,2003, Vol.2: 1531-1535;
[102] Z.Latinovic, A.Abdi,Y.bar-Ness.A Wideband Space-Time Models for MIMO Mobile Fading Channels[C], Proc.WCNC03, March 2003,Vol.1:338-342;
[103] Chenshan Xiao, Jingxian Wu, Sang-Yick Leong, A Discrete-tme Model for Spatio-tmporally Correlated MIMO WSSUE Multipath Channels[C], Proc,WCNC03, March, 2003,Vol. 1:354-358;
[104] A.F.Molisch,Effect of Far Scatter Clusters in MIMO Outdoor Channel Models[C], Proc,IEEE 57th Vehi. Tech.Conf(VTC03),April 2003,Vol.1:534-538;
[105] Z.Tang, A.S.Mohan, A Correlated indoor MIMO Channel Model[C], Proc.IEEECCECE03, May,2003, Vol.3:1889-1892;
[106] J.W.Wallace, M.A.Jensen, Validation of Parametric Direcional MIMO Channel Models from Wideband FDTD Simulations of a Simple Indoor Environment[C],Proc, IEEE Antennas and Propagation Society Inte. Symp, June,2003, Vol.2:535-538;
[107] P.Vainikainen, K.Sulonen, J.Kivinen, Experimental MIMO Propagation Modeling and Antenna System Evaluation[J], Proc.IEEE Antenna and Propagation Society Symp.June 2004,Vol.2:1271-1274;
[108] C.Xiao, J.Wu, S.Leong, A Discrete-time Model for Triply Selective MIMO Rayleigh Fading Channels[J],IEEE Tranc. Wireless Commun, Sept, 2004,Vol.3(5): 1678-1688;
[109]Shih-Kung Chang.Joint Delay-Doppler Diversity for Wireless Mobile Communications[D].Purden University,2003;
[110]BERNARD H,et al.Radio Wave Propagation in Mobile Communications:An Overview of European Research[J].IEEE Communications Magazine,1996,34(2):70-81;
[111]Jung Ha Kim,Ki Hong Kim,Se Woong Kwon,and Young Joong Yoon.A Study on the Indoor Propagation Channel Model for MIMO Systems[C].Proc IEEE Aantennas and Propagation Society Inte.Symp.June 2003,2:118-121;
[112]C.JPietsch,S,Sand,W.G.Teich,and J.Lindner.Modeling and Performance Evaluation of Multiuser MIMO Systems Using Real-valued Matrices[J].IEEE J.Selected Areas in Commun,June 2003,21(5):744-753;
[113]3GPP,TR 25.996,Spatial Channel Model for MIMO Simulations[R],v8.0.0,France,Dec,2008;
[114]李忻,聂在平。双分集最大比合并相关瑞利衰落的误码性能[J]。电波科学学报,2005,20(4):546-551;
[115]D.S.Shiu,Wireless Communication Using Dual Antenna Arrays[R],Kluwer Academic Publishers,2000;
[116]J.C.Liberti and T.S.Rappaport,无线通信中的智能天线-IS-95和第3代CDMA应用[M],马凉等译,北京,机械工业出版社,2002;
[117]F.Molisch A.宽带无线数字通信[M].许希斌,赵明等译.北京,电子工业出版社,2002;
[118]S.Rappaport T.无线通信原理与应用[M].北京,电子工业出版社,1999;
[119]Ertel R B,Cardieri P,Sowerby K W,et al.Overview of Spatial Channel Models for Antenna Array Communication systems[J].IEEE Personal Communications magazine,1998(4):10-22;
[120]杜加懂,林辉,多天线无线信道仿真与建模方法[J],电信网技术,2007.Vol.10(10):17-20;
[121]R.H.Clarke.A Statistical theory of mobile-radio reception.Bell Syst Journal.1968,Jul-Aug.Vol.47:957-1000;
[122]Jakes W C.Microwave Mobile Communications[M].New York:Wiley,1974;
[123]S.Rappaport T.无线通信原理与应用[M].北京:电子工业出版社,1999;
[124]P.Jiang, S.Wang, H.Li. An Effective Solution of Wireless Channel Sounder and Its Channel Modeling Application[C]. Vehicular Technology Conference, 2004.VTC IEEE59th. Vol.1:249-253;
[125] Zhang Ming, Zhang Jian-hua, Jiang Jun, and Wu Yu-fei. Broadband Channel Measurement and Aanlysis[J]. The Journal of China University of Posts and Telecommunications, 2006, Sept.Vol.13(3):24-28;
[126] S.Loyka and A.Kouki, On MIMO Channel Capacity, Correlations and Keyholes:Analysis of Degenerate Channels[J], IEEE Trans. Commun.,Dec.2002,50(12):1886-1888;
[127] C.Oestges, V.Erceg, and A.J.Paulraj, A Physical Scattering Model for MIMO Macrocellular Broadband Wireless channels[J], IEEE J. Selected Areas in Commun., June 2003,21(5):721-729;
[128]蒋培刚,汪少波,李化加,无线传播信道回放模型建模方法及应用[J],通信学报, 2005, vol26 (4): 99-104;
[129] Jean Philippe Kermoal, Measurement, Modeling and Performance Evaluation of the MIMO Radio Channel[D].Aalborg University, Denmark,2002;
[130] Ertel R B R,J.H.Generation of Two Equal Power Correlated Rayleigh Fading Envelopes[J]. IEEE Communications Letters,1998,2(10):276-278;
[131] Beaulieu N C.Generation of Correlated Rayleigh Fading EnvelopesfJ]. IEEE Communications Letters, 1999,3(6): 172-174;
[132] Zheng Y R,Xia C.Improved Models for The Generation of Multiple Uncorrelated Rayleigh Fading Waveforms[J]. IEEE Communications Letters,2002,6(6):256-258;
[133] Sorooshyari S,Daut D GGeneration of Correlated Rayleigh Fading Envelopes for Accurate Performance Analysis of Diversity Systems[C]. PIMRC 2003.14th IEEE Proceedings Vol.2: 1800-1804;
[134] Natarajan B,Nassar C R,Chandrasekhar V.Generation of Correlated Rayleigh Fading Envelopes for Spread Spectrum Applications[J].IEEE Communications Letters, 2000, 4(1):9-11;
[135] Young D J,Beaulieu N C.The Generation of Correlated Rayleigh Random Variates by Inverse Discrete Fourier Transform[J].IEEE Transactions on Communications,2000,48(7):1114-1127;
[136]Acolatse K,Abdi A.Efficient Simulation of Space-time Correlated MIMO Mobile Fading Channels[C],IEEE 58th Vehicular Technology Conference,2003.VTC 2003-Fall,Vo13:652-656;
[137]Baddour K E,Beaulieu N C.Accurate Simulation of Multiple Cross-correlated Fading Channels[C].IEEE International Conference on Communications,2002.ICC:267-271;
[138]陆光华,彭学愚、张林让,毛用才,随机信号处理[M],西安,西安电子科技大学出版社,2003;
[139]蒋培刚,汪少波,李化加,宽带无线信道测量仪的设计及应用[J],电信科学,2004,4:62-65;
[140]T.S.Rappaport,Wireless Communications:Principles and Practice[M],Prentice Hall,1996;
[141]徐韦,陈国安,倪祖耀,王京。宽带无线信道时频特性的测量与分析[J]。清华大学学报(自然科学版)2003,43(7):946-949;
[142]3GPP,TS 36.211,V8.6.0,Physical Channel and Modulation(Release 8)[S].France,Mar,2009;
[143]李钰,OFDM系统波束成形研究[D],杭州,浙江大学博士学位论文,2007;
[144]J.B.Andersen.Antenna Arrays in Mobile Communications:Gain,Diversity and Channel Capacity[J].IEEE Antenna and Propagtion Magazine,2000,Apr,Vol.42:12-16;
[145]刘宁。MIMO-OFDM系统下波束成形技术研究[D]。成都,电子科技大学硕士学位论文,2008;
[146]William G.Newhall,Wideband Propagation Measurement Results,Simulation Models,and Processing Techniques For a Sliding Correlator Measurement System[D],Virginia Polytechnic Institute and State University,USA,1997;
[147]张海霞,基于MIMO的未来宽带无线通信关键技术研究[D],济南,山东大学博士学位论文,2008;
[148]陆震,宽带无线MIMO-OFDM移动通信系统中的同步和信道估计技术研究,上海,上海交通大学博士学位论文[D],2008;
[1]Yingni Jin,Zhengqi Zheng,Xiuzhen Wang,and Yanbo Zhang.IEEES02.16e DOA Estimation Technology over MIMO-OFDM Channel[C].Computational Sciences and Optimization:Theory,Simulation,and Experiment,CSO 2009,Vol(1):686-689;(EI and ISTP)
[2]Yingni Jin,Zhengqi Zheng,Xiuzhen Wang,and Yanbo Zhang.Discussion of 3GPP LTE MIMO Signal Detecting Algorithms Based on QR Decomposition[C].Control,Automation and Systems Engineering,CASE 2009.IITA International Conference:191-194;(EI and ISTP)
[3]金颖妮,郑正奇,王秀贞,张彦波。基于3GPP标准的LTE MIMO译码算法探讨[J]。微计算机信息:(CSCD)
[4]金颖妮,郑正奇,王秀贞,张彦波。RFID标签天线的研究现状及热点问题探讨[J]。电信科学,2008,8:70-73;(中文核心)
[5]Yingni Jin,Zhengqi Zheng,Xiuzhen Wang,and Yanbo Zhang.IEEES02.16 Improved Communication Models for Security Authentication between BS and SS[C].2008 Proceeding of Information Technology and Environmental System Sciences,ITESS 2008,Vol.5:166-172;(ISTP)
[6]金颖妮,郑正奇,王秀贞,张彦波。RFID系统中无源标签的设计与研究[J]。微型电脑应用,2007.12:41-44:
[7]金颖妮,董楠。快速尿液分析仪中的光学系统设计[J]。光学仪器,2007,Vol.29(5):27-30:
[8]金颖妮,郑正奇,张彦波,王秀贞。复杂网络可靠性的分析方法研究[C].Proceedings of the Third Chinese Conference on Complex Networks,CCCN 2007:175:
[9]Wang Xiuzhen,Jin Yingni,Zhang Yanbo,Zheng Zhengqi.An UWB Location System for Wireless Sensor Network[C].2008 Proceedings of Information Technology and Environmental System Sciences,ITESS2008.May.2008,Vol(2):388-391;(ISTP)
[10]Wang Xiuzhen,Zheng Zhengqi,JinYingni,Zhang Yanbo.Mobile Robot Positioning and Tracking Based on Ultra-wideband Technology.Journal of Donghua University[J].June 2009.Vol(26).(English edition,EI Compendex);
[11]Yanbo Zhang;Zhengqi Zheng;Yingni Jin;and Xiuzhen Wang.Load-Balanced Algorithm in Wireless Sensor Networks Based on Pruning Mechanism[C].Communication Software and Networks,2009.ICCSN '09.:604 - 606;(EI and ISTP)
[12]王秀贞,郑正奇,金颖妮,张彦波。新的UWB两步快速捕获方法[J]。计算机应用.2009.09:2435p2436;(CSCD)
[13]王秀贞,郑正奇,金颖妮,张彦波。基于神经网络的超宽带Rake接收机研究[J]。微计算机信息,2009,Vol.25(6-1):242-243;(CSCD)
[14]王秀贞,郑正奇,金颖妮,张彦波。MB-OFDM超宽带系统信道估计研究[J]。通信技术,2009,04,Vol.42:49-51;
[15]张彦波;郑正奇;金颖妮。基于无线传感器网络技术的收视率调查系统[J]。中国有线电视,2007(24):2301-2303;(中文核心)
[2]X.H.Yu,G.Chen,M Chen et al.Toward Beyond 3G:The FUTURE Project in China[J].IEEE Communication Magazine,Mar.2005,Vol.43.:61-68;
[3]崔春风,王晓云。3GPP LTE-3G向4G演进的关键一步[J]。电信网技术,2005,9(9):2-4;
[4]F.Bauer et al,Synthesis Report on Worldwide Research on 4G Systems[R],IST-2001-32620,Matrice,D7.1,Sept30,2003;
[5]沈嘉,索士强,全海洋。3GPP长期演进(LTE)技术原理与系统设计[M]。人民邮电出版社,北京,2009:
[6]Agilent Technolgoies,应对MIMO信道建模和仿真测试遇到的挑战应用说明[Z],北京,2008;
[7]Klaus I.Pedersen,J.B.Andersen,P.Mogensen,A Stochastic Multiple- Input-Multiple -Output Radio Channel Model for Evaluation of Space-Time Coding Algorithms[C],Vehicular Technology Conference,2000,Vol.2:893-897;
[8]Nelson Costam,B.A.Sc.Wideband MIMO Channal Models:Theory and Practice [D].McMaster University,Canada.2007;
[9]吴湘霖,非理想系统假设下阵列信号多信源多参数联合估计[D],西安,西北工业大学博士学位论文,2005:
[10]Bello P.Characterization of Randomly Time-Variant Linear Channels[J].IEEE Transactions on Communications,1963,11:360-393;
[11]T A.A Modified Model for he Fading Signal at Mobile Radio Channel[J].IEEE Transactions on Vehicular Technology,1979,Vol.VT-28:182-203;
[12]J.ANDERSEN,T.RAPPAPORT,S.YOSHIDA.Propagation Measurements and Models for Wireless Communications Channels[J].IEEE Communications M agazine,1995,33(1):42-49;
[13]W.C.JAKES et al.Microwave Mobile Communications[M].IEEE Press,1993;
[14]L.SCHUMACHER,K.I.PEDERSEN,P.E.MOGENSEN.From Antenna Spacing to Theoretical Capacities-Guidelines for Simulating MIMO Systems[C].Proceedings of 13th IEEE International Symposium on Personal Indoor Mobile and Radio Communications,2002;
[15]T.RAPPAPORT著,蔡涛等译。无线通信原理与应用[M]。电子工业出版,1999;
[16]W.C.JAKES.Micmwave Mobile Communications[Z].IEEE Press,1974;
[17]K.I.PEDERSEN.Antenna Arrays in Mobile Communications:Channel Modeling and Receiver Design for DS-CDMA Systems[D],Alborg University,2000;
[18]高凯。MIMO信道的建模、仿真及无线衰落信道的Markov模型研究[D],长沙,国防科学技术大学博士论文,2006;
[19]肖海林。新一代无线通信系统中的MIMO信道建模与信道估计[D],成都,电子科技大学博士学位论文,2007;
[20]黄韬,袁超伟,杨睿哲,刘鸣,MIMO相关技术与应用[M].北京,机械工业出版社,2007:
[21]C.Waldschmidt,J.V.Hagen,W.Wiesbeck,Influence and Modeling of Mutual Coupling in MIMO and Diversity Systems[C],Antennas and Propagation Society International Symposium,2002 vol.3:190;
[22]W.C.Y.Lee,Effects on Correlation Between Two Mobile Radio Base-Station Antennas[J],IEEE Transactions on Vehicular Technology,November 1973,Vol.22(4):130-140;
[23]J.P.Kermoal,L.Schumacher,P.E.Pedersen,Experimental Iinvestigation of Correlation Properties of MIMO Radio Channels for Indoor Pieocell Scenarios[C],Vehicular Technology Conference,2000,Vol.1:14-21;
[24]李纪。互耦对MIMO信道空间相关特性的影响[J],系统工程与电子技术,2006,vol28(10):1473-1476;
[25]李纪,张尔扬。无线MIMO信道空时相关特性分析[J],系统工程与电子技术,2006,10,vol28(10):1473-1476;
[26]F.Adachi,M.T.Feeney,A.G.Williamson,and J.D.Parsons,"Crosscorrelation between the Envelopes of 900 MHz Signals Received at a Mobile Radio Base Station Site",lEE Proceedings,Vol.133,Pt.F,1996.No.6:506-512;
[27]R.G.Vaughan,Antenna Diversity in Landmobile Communications[D],Alborg University,Denmark,1985;
[28]P.C.F.Eggers,J.Toftgard,and A.M.Oprea,Antenna Systems for Base Station Diversity in Urban Small and Micro Cells[J],IEEE Journal on Select Areas in Communications,September 1993,vol.11(7):1046-1057;
[29]Jr.W.C.Jakes,Microwave Mobile Communications[M],John Wiley and Sons,Inc,1974;
[30]W.C.Y.Lee,Mobile Communications Engineering[M],McGraw-Hill Book Company,1982;
[31]Jianxia Luo,J.R.Zeidler,A Statistical Simulation Model for Correlated Nakagami Fading Channels[J],Communication Technology Proceedings,2000,Vol.2:1680- 1684;
[32]K.Pedersen,P.E.Mogensen,B.H.Fleury,Spatial Channel Characteristics in Outdoor Environments and Their Impact on BS Antenna System Performance[C].Vehicular Technology Conference,1998 Vol.2:719-723;
[33]J.Salz,J.H.Winters,Effect of Fading Correlation on Adaptive Arrays in Digital Mobile Radio,Vehicular Technology,1994 Vol.43(4):1049-1057;
[34]D.Aszetly,On antenna Arrays in Mobile Communication Systems:Fast Fading and GSM Base Station Receiver Algorithm[Z],Royal institute of Technology,Stockholm,Sweden,1996;
[35]李忻。新一代无线通信系统中的MIMO信道建模与多天线设计研究[D],成都,电子科技大学博士学位论文,2005;
[36]李忻,聂在平.MIMO信道中衰落信号的空域相关性评估[J],电子学报,2004,Vol.32(12):1949-1953;
[37]Chizhik D,Rashid-Farrokhi F,Ling J,Lozano A.Effects of Antenna Separation on the Capacity of BLAST in Correlated Channels[J].IEEE Comm.Lett,2000,4(11):337-339;
[38]Telatar IE.Capacity of Multi-antenna Gaussian Channels[J].Eur,Trans on Telecomm,1999,10(6):585-595;
[39]D.Chizhik,G.J.Foschini,and R.A.Valenzuela,Capacities of Multi-element Transmit and Receive Antennas:Correlations and Keyholes[J],Electronics,Letters.2000 June22,Vo136(13):1019-1100;
[40]Da-Shan Shiu,G.J.Foschini,M.J.Gans,J.M,Kahn,Fading Correlation and its Effect on the Capacity of Multielement Antenna Systems[J],Communications, 2000 Vol.48(3):502-513;
[41]李忻,聂在平,天线阵列方位对MIMO无线信道性能的影响[J],电子与信息学报,2005.9(27):1433-1436;
[42]李仲令,现代无线与移动通信技术[M],科学出版社,北京,2006;
[43]Apichart Intarapanich.Broadband MIMO Wireless Systems:Channel Measurement and Modeling[D],University of Calgary.Canada.2005;
[44]刘鸣,智能天线技术与应用[M],机械工业出版社,北京,2007;
[45]Apichart Intarapanich.Broadband MIMO Wireless Systems:Channel Measurement and Modelling[D].University of Calgary,Canada,2005;
[46]丛进,基于二阶统计特性的MIMO系统盲辨识[D],南京,东南大学硕士论文,2005;
[47]3GPP and 3GPP2,TSG,SCM-134 Text v6.0,Spatial Channel Model Text Description[S],Lucent,Nokia,Siemens,and Ericsson,April,2003;
[48]莫锦军,隐身目标低频带电电磁散射特性研究[D]。长沙,国防科学技术大学博士学位论文,2004;
[49]Kermoal J P,Schumacher L,Pedersen K I,et al.A Stochastic MIMO Radio Channel Model with Experimental Validation[J].IEEE Journal on Selected Areas in Communication,2002,20(6):1211-1226;
[50]K.I.Pedersen,J.B.Andersen,J.P.Kermoal,and P.Mogensen,A Stochastic Multiple-Input-Multiple-Output Radio Channel Model for Evaluation of Space-Time Coding Algorithms[C],IEEE Vehicular Technology Conference VTC[C]2000,September,Boston,USA,Vol.2:893-897;
[51]Stephenne A,Champagne B.Effective Multi-Path Vector Channel Simulator for Antenna Array Systems[J].IEEE Transactions on Vehicular Technology,2000,49(6):2370-2381;
[52]Olmos J J,Gelonch A,Casadevall F J,et al.Design and Implemention of a Wide-band Real-Time Mobile Channel Emulator[J].IEEE Transactions on Vehicular Technology,1999,48(3):746-764;
[53]T A.A Modified Model for The Fading Signal at Mobile Radio Channel[J].IEEE Transactions on Vehicular Technology,1979,VoI.VT-28:182-203;
[54]Gesbert.D,Bolcskei.H,Gore.D,Paulraj.A,Outdoor MIMO Wireless Channels: Models and Performance Prediction [J], Communications, IEEE Transactions,2002 Vol.50 (12): 1926-1934;
[55] Lucent, Nokia, Siemens, and Ericsson, A Standardized Set of MIMO Radio Propagation Channels[J], Tech. Rep. 3GPP TSG R1-01-1179,2001;
[56] M.Steinbauer, A.F. Molisch, and E. Bonek. The Double-Directional Radio Channel [J], IEEE Antennas and Propagation Magazine, August 2001, Vol. 43, no.4:51-63;
[57] E. Zollinger (editor), Wideband Directional Channel Model and Measurement Campaign [J], IST-1999-10741 Deliverable 2.1,2000, www.ist-asilum.org:
[58] G. German, Q. Spencer, L. Swindlehurst, and R. Valenzuela, Wireless Indoor Channel Modeling: Statistical Agreement of Ray Tracing Simulations and Channel Sounding Measurements[J], Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001,Vol.4: 2501-2504;
[59] A. Burr, Evaluation of Capacity of Indoor Wireless MIMO Channel Using Ray Tracing[J], 2002 International Zurich Seminar on Broadband Communications Access Transmission Networking., February 2002:281 -286;
[60] P.F. Driessen and GJ. Foschini, On the Capacity Formula for Multiple-Input-Multiple-Output Wireless Channels: A Geometric Interpretation [J], IEEE Transactions on Communications, February 1999, Vol. 47(2): 173-176;
[61] D.S. Shiu, GJ. Foschini, M.J. Gans, and J.M. Kahn, Fading Correlation and Its Effects on the Capacity of Multielement Antenna Systems[J], IEEE Transactions on Communications, March 2000,vol. 48(3) :502-513;
[62] IMST-GmbH, Microcell Wideband Channel Model[R], Tech. Rep. 3GPP TSG R1-01-0992,2001;
[63] A.M. Sayeed, Modeling and capacity of realistic spatial MIMO Channels[J],IEEE ICASSP'2001, May 2001,Vol. 4:2489-2492;
[64] A. Burr, Channel Capacity Evaluation of Multi-Element Antenna Sytems Using a Spatial Channel Model [P], COST 259 TD (00)006, January 2000, Valencia,Spain;
[65] T. Svantesson, A Physical MIMO Radio Channel Model for Multi-element Multipolarized Antenna systems[C], IEEE VTS 54th Vehicular Technology Conference, VTC 2001 Fall, Vol. 2:1083 -1087;
[66] R.S. Thoma, D. Hampicke, A. Ritcher, and G Sommerkorn, Measurement and Identification of Mobile Radio Propagation Channels[C], IEEE Instrumentation and Measurement Technology Conference , Budapest, Hungary ,May 2001:1163-1170;
[67] M. Stege, J. Jelitto, M. Bronzel, and G Fettweis, A Multiple-Input- Multiple-Output Channel Model for Simulation of Tx- and Rx-diversity Wireless Systems[C], IEEE VTC'2000 Fall Conf, September 2000, Vol.2: 833-839;
[68] D-S. Shiu, GJ. Foschini, M.J. Gans, and J.M. Kahn.Fading Correlation and Its Effect on the Capacity of Multi-Element Antenna Systems[C], IEEE International conference on Universal personal communications. ICUPC'98,October 1998, Vol.1: 429-433;
[69] Y. Kai, M. Bengtsson, B. Ottersten, D.P. McNamara, P. Karlsson, and M.A.Beach, A Wideband Statistical Model for NLOS Indoor MIMO Channels[C],IEEE Vehicular Technology Conference VTC'02 Spring, May 2002,Birmingham, AL, USA,Vol.1:370-374;
[70] Lucent Technologies, Further Link Level Results for HSDPA using Multiple Antennas[R], Tech. Rep. 3GPP TSG R1-00-1386, November 2000;
[71] D. Gesbert, H. Bolcskei, D. Gore, and A. Paulraj, MIMO Wireless Channels:Capacity and Performance Prediction[C], GLOBECOM '00, IEEE Global Telecommunications Conference, San Francisco, USA, 2000, November 27-December l,Vol. 2:1083-1088;
[72] A. Sibille, Keyholes and MIMO Channel Modelling [P], COST 273 TD (01)017,Bologna, Italy, October 2001;
[73] MIMO Rapporteur, MIMO Discussion Summary[R], Tech. Rep. 3GPP TSG R1-02-0181,2001;
[74] Lucent, MIMO System Level Channel Model[R], Tech. Rep. 3GPP TSG R1-02-0548,2002;
[75] L.M. Correia, Wireless Flexible Personalised Communications [P]. COST 259:European Co-operation in Mobile Radio Research, Wiley, 2001;
[76] Lucent Technologies, Proposal for a Unified Spatial Channel Model[R]. Tech.Rep. 3GPP TSG R1-01-0722, 2001;
[77] D. Chizhik, GJ. Foschini, M.J. Gans, and R.A. Valenzuela, Keyholes Correlations and Capacities of Multielement Transmit and Receive Antennas[J],IEEE Transactions on Wireless Communications, April 2002,vol. 1(2): 361-368;
[78] D.Gesbert, H.Bolcskei, D.A.Gore, and A.J.Paulraj, Performance Evaluation for Scattering MIMO Channel Models[C], 34th Asilomar Conf. Signals, Systems and Computers, Oct.2000,Vol.1:748-752;
[79] S.L.Loyka, Channel Ccapacity of MIMO Architecture Using the Exponential Correlation Matrix[J], IEEE Commun.Letters, Sep.2001,5(9):369-371;
[80] J.W.Wallace and M.A.Jensen, Statistical characteristics of Measured MIMO Wireless Channel Data and Comparison to Conventional Models[C], IEEE 54th Vehi. Tech.Conf(VTC'01 Fall),Oct,2001,2:1078-1082;
[81] H.Xu, M.Gans, N.Amitay, R.A.Valenzuela, T.Sizer, R.Storz, MIMO Channel Capacity for Fixed Wireless:Measurements and Models[C], Proc.IEEE 54th Vehi. Tech.Conf(VTC01 Fall),Oct,2001,2:1068-1072;
[82] J.P.Kermoal, L.Schumacher, F.Frederiksen, and P.E.Mogensen, Polarization Diversity in MIMO Radio Channels: Experimental Validation of A Stochastic Model and Performance Assessment[C], Proc. IEEE 54th Vehi. Tech. Conf (VTC'01 Fall), Oct,2001,1:22-26;
[83] J.Takada, K.Sakaguchi, and K.Araki, Development of High Resolution MIMO Channel Sounder For the Advanced Modeling of Wireless Channels[C], Proc.Asia-Pacific Microwave Conf.(APMC'01).Dec.2001.Vol.2:563-568;
[84] A.Lozano and C.Papadias, Layered Space-time Receivers for Frequency-Selective Wireless Channels [J], IEEE Trans.Commun, Jan. 2002, 50(1) :65-73;
[85] S.Loyka and G.Tsoulos, Estimating MIMO System Performance Using the Correlation Matrix Aapproach[J], IEEE Commun.Letters, Jan.2002,6(1):19-22;
[86] D.B.Simth, An Application of a Generalised Jakes Model for MIMO Channels [R], Proc.Workshop on the Application of Radio Science (WARS'02), Leura,NSW Australia,Feb,2002;
[87] D.Chizhik, F.R, Farrokhi, and A,Lozano, Effect of Antenna Separation on the Capacity of BLAST in Correlated Channels[J], IEEE Commun. Letters, April 2002,4(11):337-339;
[88] A.Abdi and M.Kaveh, A Space-time Correlation Model for Multielement Antenna Systems in Mobile Fading Channels[J], IEEE J.Selected Areas in Commun. April 2002, 20(3):550-560;
[89] M.Toeltsch, J,Laurila, K.Kalliolam A.F.Molisch,and E.Bonek, Statistical Characterization of Urban Spatial Radio Channels[J], IEEE J.Selected Areas in Commun, April 2002,20(3):539-549;
[90] P.Soma, D.S.Baum, and A.J.Paulraj, Analysis and Modeling of Multiple-input multiple-output (MIMO) Radio Channel Based on Outdoor Measurements Conducted at 2.5GHz for Fixed BWA Applications[C], Proc.IEEE Inte.Conf.Commun. (ICC'02),April 2002, Vol.1:272-276;
[91] A.F.Molisch, Ageneric Model for MIMO Wireless Propagation Channels[C],Proc.IEEE Inte.Conf.Commun.(ICC'02),April 2002,Vol.1:227-282;
[92] J.W.Wallace and M.A.Jensen, Modeling the Indoor MIMO Wireless Channel[J],IEEE Trans. Antennas and Propagation, May 2002,50(5):591-599;
[93] GJ.R, Povey and D.Lever. Multiple Input Mutiple Output(MIMO)Radio Channel Models[C], Third Inte.Conf. 3G Mobile Commun. Technologies, May 2002:414-417;
[94] A.FMolisch, A Channel Model for MIMO Systems in Macro- and Microcellular Environments[C], Proc. IEEE 55th Vehi. Tech. Conf.(VTC'02), May 2002,2:655-659;
[95] A.Van Zelst, J.S.Hammerschmidt, A single Coefficient Spatial Correlation Model for Multiple-input Multiple-output(MIMO) Radio Channels[R], Proc.27th Inte.Union of Radio Science (URSI) General Assembly, Maastricht, the Netherlands,Aug, 2002;
[96] D.W.Bliss,K.W.Forsythe, A.O.Hero and A.F.Yegulalp, Environmental Issues for MIMO Capacity[J], IEEE Trans. Signal Processing, Sep.2002,50(9):2128-2142;
[97] H.Xu, D Chizhik, H.Huang, and R.Valenzuela, A Wave-based Wideband MIMO Channel Modeling Technique[R], Proc. IEEE 13th Inte. Symp, Personal. Indoor and Mobile Raido Commun.(PIMRC'02), Sept, 2002,Vol.4:1626-1630;
[98] T.Svantesson, A Double-bounce Channel Model for Multi-ploarized MIMO Systems[C], Proc. IEEE 56th Vehi. Tech. Conf. (VTC'02 Fall), Sep. 2002, 2:691 -695;
[99] A.M.Sayeed. Deconstructing Multiantenna Fading Channels[J], IEEE Trans.Signal Processing, Oct.2002, 50(10):2563-2579;
[100] K.Yu and B.Ottersten,Models for MIMO Propagation Channels: A Review[J],Wiley J.Wireless Commun. and Mobile Computing, Special Iissue on Adapative Antennas of MIMO Systems, Nov.2002,2(7):653-666;
[101] M.Lienard,MIMO Channel in Tunnels: Experimental Approach and Stochastic Model[C], Proc. 10th Inte.Conf. Telecommun. (ICT03), Feb,2003, Vol.2: 1531-1535;
[102] Z.Latinovic, A.Abdi,Y.bar-Ness.A Wideband Space-Time Models for MIMO Mobile Fading Channels[C], Proc.WCNC03, March 2003,Vol.1:338-342;
[103] Chenshan Xiao, Jingxian Wu, Sang-Yick Leong, A Discrete-tme Model for Spatio-tmporally Correlated MIMO WSSUE Multipath Channels[C], Proc,WCNC03, March, 2003,Vol. 1:354-358;
[104] A.F.Molisch,Effect of Far Scatter Clusters in MIMO Outdoor Channel Models[C], Proc,IEEE 57th Vehi. Tech.Conf(VTC03),April 2003,Vol.1:534-538;
[105] Z.Tang, A.S.Mohan, A Correlated indoor MIMO Channel Model[C], Proc.IEEECCECE03, May,2003, Vol.3:1889-1892;
[106] J.W.Wallace, M.A.Jensen, Validation of Parametric Direcional MIMO Channel Models from Wideband FDTD Simulations of a Simple Indoor Environment[C],Proc, IEEE Antennas and Propagation Society Inte. Symp, June,2003, Vol.2:535-538;
[107] P.Vainikainen, K.Sulonen, J.Kivinen, Experimental MIMO Propagation Modeling and Antenna System Evaluation[J], Proc.IEEE Antenna and Propagation Society Symp.June 2004,Vol.2:1271-1274;
[108] C.Xiao, J.Wu, S.Leong, A Discrete-time Model for Triply Selective MIMO Rayleigh Fading Channels[J],IEEE Tranc. Wireless Commun, Sept, 2004,Vol.3(5): 1678-1688;
[109]Shih-Kung Chang.Joint Delay-Doppler Diversity for Wireless Mobile Communications[D].Purden University,2003;
[110]BERNARD H,et al.Radio Wave Propagation in Mobile Communications:An Overview of European Research[J].IEEE Communications Magazine,1996,34(2):70-81;
[111]Jung Ha Kim,Ki Hong Kim,Se Woong Kwon,and Young Joong Yoon.A Study on the Indoor Propagation Channel Model for MIMO Systems[C].Proc IEEE Aantennas and Propagation Society Inte.Symp.June 2003,2:118-121;
[112]C.JPietsch,S,Sand,W.G.Teich,and J.Lindner.Modeling and Performance Evaluation of Multiuser MIMO Systems Using Real-valued Matrices[J].IEEE J.Selected Areas in Commun,June 2003,21(5):744-753;
[113]3GPP,TR 25.996,Spatial Channel Model for MIMO Simulations[R],v8.0.0,France,Dec,2008;
[114]李忻,聂在平。双分集最大比合并相关瑞利衰落的误码性能[J]。电波科学学报,2005,20(4):546-551;
[115]D.S.Shiu,Wireless Communication Using Dual Antenna Arrays[R],Kluwer Academic Publishers,2000;
[116]J.C.Liberti and T.S.Rappaport,无线通信中的智能天线-IS-95和第3代CDMA应用[M],马凉等译,北京,机械工业出版社,2002;
[117]F.Molisch A.宽带无线数字通信[M].许希斌,赵明等译.北京,电子工业出版社,2002;
[118]S.Rappaport T.无线通信原理与应用[M].北京,电子工业出版社,1999;
[119]Ertel R B,Cardieri P,Sowerby K W,et al.Overview of Spatial Channel Models for Antenna Array Communication systems[J].IEEE Personal Communications magazine,1998(4):10-22;
[120]杜加懂,林辉,多天线无线信道仿真与建模方法[J],电信网技术,2007.Vol.10(10):17-20;
[121]R.H.Clarke.A Statistical theory of mobile-radio reception.Bell Syst Journal.1968,Jul-Aug.Vol.47:957-1000;
[122]Jakes W C.Microwave Mobile Communications[M].New York:Wiley,1974;
[123]S.Rappaport T.无线通信原理与应用[M].北京:电子工业出版社,1999;
[124]P.Jiang, S.Wang, H.Li. An Effective Solution of Wireless Channel Sounder and Its Channel Modeling Application[C]. Vehicular Technology Conference, 2004.VTC IEEE59th. Vol.1:249-253;
[125] Zhang Ming, Zhang Jian-hua, Jiang Jun, and Wu Yu-fei. Broadband Channel Measurement and Aanlysis[J]. The Journal of China University of Posts and Telecommunications, 2006, Sept.Vol.13(3):24-28;
[126] S.Loyka and A.Kouki, On MIMO Channel Capacity, Correlations and Keyholes:Analysis of Degenerate Channels[J], IEEE Trans. Commun.,Dec.2002,50(12):1886-1888;
[127] C.Oestges, V.Erceg, and A.J.Paulraj, A Physical Scattering Model for MIMO Macrocellular Broadband Wireless channels[J], IEEE J. Selected Areas in Commun., June 2003,21(5):721-729;
[128]蒋培刚,汪少波,李化加,无线传播信道回放模型建模方法及应用[J],通信学报, 2005, vol26 (4): 99-104;
[129] Jean Philippe Kermoal, Measurement, Modeling and Performance Evaluation of the MIMO Radio Channel[D].Aalborg University, Denmark,2002;
[130] Ertel R B R,J.H.Generation of Two Equal Power Correlated Rayleigh Fading Envelopes[J]. IEEE Communications Letters,1998,2(10):276-278;
[131] Beaulieu N C.Generation of Correlated Rayleigh Fading EnvelopesfJ]. IEEE Communications Letters, 1999,3(6): 172-174;
[132] Zheng Y R,Xia C.Improved Models for The Generation of Multiple Uncorrelated Rayleigh Fading Waveforms[J]. IEEE Communications Letters,2002,6(6):256-258;
[133] Sorooshyari S,Daut D GGeneration of Correlated Rayleigh Fading Envelopes for Accurate Performance Analysis of Diversity Systems[C]. PIMRC 2003.14th IEEE Proceedings Vol.2: 1800-1804;
[134] Natarajan B,Nassar C R,Chandrasekhar V.Generation of Correlated Rayleigh Fading Envelopes for Spread Spectrum Applications[J].IEEE Communications Letters, 2000, 4(1):9-11;
[135] Young D J,Beaulieu N C.The Generation of Correlated Rayleigh Random Variates by Inverse Discrete Fourier Transform[J].IEEE Transactions on Communications,2000,48(7):1114-1127;
[136]Acolatse K,Abdi A.Efficient Simulation of Space-time Correlated MIMO Mobile Fading Channels[C],IEEE 58th Vehicular Technology Conference,2003.VTC 2003-Fall,Vo13:652-656;
[137]Baddour K E,Beaulieu N C.Accurate Simulation of Multiple Cross-correlated Fading Channels[C].IEEE International Conference on Communications,2002.ICC:267-271;
[138]陆光华,彭学愚、张林让,毛用才,随机信号处理[M],西安,西安电子科技大学出版社,2003;
[139]蒋培刚,汪少波,李化加,宽带无线信道测量仪的设计及应用[J],电信科学,2004,4:62-65;
[140]T.S.Rappaport,Wireless Communications:Principles and Practice[M],Prentice Hall,1996;
[141]徐韦,陈国安,倪祖耀,王京。宽带无线信道时频特性的测量与分析[J]。清华大学学报(自然科学版)2003,43(7):946-949;
[142]3GPP,TS 36.211,V8.6.0,Physical Channel and Modulation(Release 8)[S].France,Mar,2009;
[143]李钰,OFDM系统波束成形研究[D],杭州,浙江大学博士学位论文,2007;
[144]J.B.Andersen.Antenna Arrays in Mobile Communications:Gain,Diversity and Channel Capacity[J].IEEE Antenna and Propagtion Magazine,2000,Apr,Vol.42:12-16;
[145]刘宁。MIMO-OFDM系统下波束成形技术研究[D]。成都,电子科技大学硕士学位论文,2008;
[146]William G.Newhall,Wideband Propagation Measurement Results,Simulation Models,and Processing Techniques For a Sliding Correlator Measurement System[D],Virginia Polytechnic Institute and State University,USA,1997;
[147]张海霞,基于MIMO的未来宽带无线通信关键技术研究[D],济南,山东大学博士学位论文,2008;
[148]陆震,宽带无线MIMO-OFDM移动通信系统中的同步和信道估计技术研究,上海,上海交通大学博士学位论文[D],2008;
[1]Yingni Jin,Zhengqi Zheng,Xiuzhen Wang,and Yanbo Zhang.IEEES02.16e DOA Estimation Technology over MIMO-OFDM Channel[C].Computational Sciences and Optimization:Theory,Simulation,and Experiment,CSO 2009,Vol(1):686-689;(EI and ISTP)
[2]Yingni Jin,Zhengqi Zheng,Xiuzhen Wang,and Yanbo Zhang.Discussion of 3GPP LTE MIMO Signal Detecting Algorithms Based on QR Decomposition[C].Control,Automation and Systems Engineering,CASE 2009.IITA International Conference:191-194;(EI and ISTP)
[3]金颖妮,郑正奇,王秀贞,张彦波。基于3GPP标准的LTE MIMO译码算法探讨[J]。微计算机信息:(CSCD)
[4]金颖妮,郑正奇,王秀贞,张彦波。RFID标签天线的研究现状及热点问题探讨[J]。电信科学,2008,8:70-73;(中文核心)
[5]Yingni Jin,Zhengqi Zheng,Xiuzhen Wang,and Yanbo Zhang.IEEES02.16 Improved Communication Models for Security Authentication between BS and SS[C].2008 Proceeding of Information Technology and Environmental System Sciences,ITESS 2008,Vol.5:166-172;(ISTP)
[6]金颖妮,郑正奇,王秀贞,张彦波。RFID系统中无源标签的设计与研究[J]。微型电脑应用,2007.12:41-44:
[7]金颖妮,董楠。快速尿液分析仪中的光学系统设计[J]。光学仪器,2007,Vol.29(5):27-30:
[8]金颖妮,郑正奇,张彦波,王秀贞。复杂网络可靠性的分析方法研究[C].Proceedings of the Third Chinese Conference on Complex Networks,CCCN 2007:175:
[9]Wang Xiuzhen,Jin Yingni,Zhang Yanbo,Zheng Zhengqi.An UWB Location System for Wireless Sensor Network[C].2008 Proceedings of Information Technology and Environmental System Sciences,ITESS2008.May.2008,Vol(2):388-391;(ISTP)
[10]Wang Xiuzhen,Zheng Zhengqi,JinYingni,Zhang Yanbo.Mobile Robot Positioning and Tracking Based on Ultra-wideband Technology.Journal of Donghua University[J].June 2009.Vol(26).(English edition,EI Compendex);
[11]Yanbo Zhang;Zhengqi Zheng;Yingni Jin;and Xiuzhen Wang.Load-Balanced Algorithm in Wireless Sensor Networks Based on Pruning Mechanism[C].Communication Software and Networks,2009.ICCSN '09.:604 - 606;(EI and ISTP)
[12]王秀贞,郑正奇,金颖妮,张彦波。新的UWB两步快速捕获方法[J]。计算机应用.2009.09:2435p2436;(CSCD)
[13]王秀贞,郑正奇,金颖妮,张彦波。基于神经网络的超宽带Rake接收机研究[J]。微计算机信息,2009,Vol.25(6-1):242-243;(CSCD)
[14]王秀贞,郑正奇,金颖妮,张彦波。MB-OFDM超宽带系统信道估计研究[J]。通信技术,2009,04,Vol.42:49-51;
[15]张彦波;郑正奇;金颖妮。基于无线传感器网络技术的收视率调查系统[J]。中国有线电视,2007(24):2301-2303;(中文核心)