基于镜像法的MIMO信道研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着信息技术不断的发展,人们对于无线通信系统的数据容量和传输速率的要求越来越高。与此同时,传统无线通信系统由于受到香农信息理论的限制很难有效提高系统容量。多输入多输出(MIMO)技术采用多天线系统,在不增加频谱资源和发送功率的前提,成倍地提高通信系统的容量,有效解决用户对于高质量通信的需求。因此,MIMO技术被认为是下一代移动通道的关键技术,并成为无线通信领域研究的新热点。
     本文主要从理论和实际仿真两个方面研究MIMO信道模型和传播特性。本文介绍了MIMO室内多径信道模型,详细分析了典型的随机性统计模型及确定性模型。本文重点研究基于射线跟踪技术的镜像法的MIMO信道建模方法,通过对镜像法原理的研究建立室内多径MIMO信道的仿真平台,在高频窄带情况下仿真分析了视距(LOS)和非视距(NLOS)环境下的信道容量、功率、路径损耗等参数,结果验证了理论的正确性。本文建立了MIMO-UWB的仿真分析过程,重点分析了信道传输特性,通过理论验证了建模的正确性。
     本文的主要工作具体如下:
     (1)本文介绍了射线跟踪技术的原理,并分析比较了几种不同射线跟踪算法的性能。本文重点研究了镜像法射线跟踪技术,对使用镜像法如何求解镜像点和确定镜像点有效性进行详细分析,给出了镜像法仿真的详细流程并建立了室内多径信道仿真模型。
     (2)本文在假设信号带宽为窄带的情况下,对MIMO室内LOS环境进行仿真,研究MIMO信号室内传播特性,估计各种参量包括:信道容量、接收功率、时延扩展、路径损耗等,并进行对比分析。再不停的深入,加入障碍物形成NLOS环境,对稍显复杂的环境进行仿真,并与LOS环境下的结果进行对比分析。
     (3)将MIMO窄带扩展到MIMO-UWB,通过频带分割技术使用镜像法来仿真UWB信道,本文使用高斯脉冲信号作为发送波形建立UWB室内信道模型,仿真分析室内信道传输特性和信道输出,得到信道的输出状态响应r (t)、信道的冲激响应h (t)、信道冲激响应的功率时延分布P(t)、平均时延(?)、均方根时延扩展(?) rms、相干带宽Bc等UWB室内多径信道特征参数,并对仿真结果进行分析验证其准确性。
With the development of information theory, the demand for transfer rates and data capacity of wireless communication system is becoming higher and higher. At the same time, due to the limitations of Shannon information theory, it is difficult to improve capacity for traditional wireless communication systems. MIMO system using multiple transmit antennas and multiple receive antennas can exponentially improve the capacity of wireless communication system without increasing the spectral efficiency and transmit power, thereby effectively address the needs for high-quality communications. MIMO has become a hot spot of wireless communication research, and is considered to be one of the key technologies of next generation communications.
     In this paper, it studies channel models and propagation characteristics of MIMO system from theoretical and practical aspects. This article describes the MIMO indoor multipath channel model and compares the advantages and disadvantages of the statistical channel models and deterministic models. On the basis of the research on the traditional ray tracing technique, the paper uses the image method to establish a simulation platform of indoor multipath MIMO channel, simulates and analyzes various parameters including the channel capacity, received power, path loss and so on in LOS and NLOS environments. The results verify the correctness of the theory. This paper establishes an analysis process of MIMO-UWB system simulation and focuses on channel transmission characteristics and verifies the correctness of modeling through theoretical.
     The main work as follows:
     (1) This paper introduces the principle of ray tracing techniques and compares several different ray tracing algorithms. It focuses on the image method and analyzes the use of image method to determine how to get the mirror points in detail. It gives a detailed image method simulation process and establishes a MIMO indoor multipath channel simulation model.
     (2) In this paper, it simulates the indoor MIMO multipath channel in the LOS environment to study the propagation characteristics of indoor MIMO signal and estimates various parameters including the channel capacity, received power, delay spread, path loss and so on. And then obstacles are added to form the NLOS environment, in this case we simulate the channel and compare the results with LOS environment.
     (3) The paper extends the narrowband MIMO to MIMO-UWB and simulates the indoor MIMO channel with a Gaussian pulse input signal to get UWB indoor multipath channel parameters including the channel impulse response, power delay distribution, mean excess delay, RMS delay, coherence bandwidth and so on. Finally, the accuracy of the simulation is verified.
引文
[1] Shannon C. E. A mathematical theory of communication[J]. Bell System Technical Journal, 1948(27):379-429
    [2] Telatar I.E. Capacity of multiple antenna Gaussian channels. European Trans. Telecommun. 1999, 10(6): 585-595
    [3] Foschini G J. Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas. Bell Labs Tech. J, 1996, Autumn, vol.1 :41-59
    [4] Vahid Tarokh, Nambi Seshadri, A R Calderbank. Space-Time Codes for High Data Rate Wireless Communications: Performance Criterion and Code Construction. IEEE Trans Inform Theory, Mar 1998,44:744-765
    [5] Foschini G J, Golden G D, Valenzuela R A, and Wolniansky P W Simplified processing for high spectral efficiency wireless communication employing multi-element arrays. IEEE J. Select .Areas Common, 1999,17 (11):18 41-1852
    [6] P W Wolniansky, G .J. Foschini, G. D .Golden, R. A. Valenzuela. V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel. IEEE Conference Proceedings of the International Symposium on Signals, Systems and Electronics, Pisa, Italy, 1998, pp 295-300
    [7]杨波,唐友喜,DWCS中的天线动态选择算法,电子科技大学学报,第37卷第5期,2008
    [8]肖海林,新一代无线通信系统中的MIMO信道建模与信道估计,电子科技大学博士学位论文,2004
    [9] K.Yu and B. Ottersten. Models for MIMO propagation channels: a review, Wiley J. Wireless Common. and Mobile Computing, Special issue on adaptive antennas ofMIMO systems,Nov.2002,2(7):653- 666
    [10] K.Yu,M.Bengtsson,B.Ottersten,D.McNamara,P.Karlsson,and M.Beach, Second order statistics of NLOS indoor MIMO channels based on 5.2GHz measurements. Proc. IEEE Global Telecommun.2001.
    [11] C. Oestges, VEreeg, A. J.Pauiraj. A Physical scattering model for MIMO microcellular broadband wireless channels,IEEE J. Selected Areas in Commun, June2003,21(5):721-729.
    [12] T.Svantesson. A physical MIMO radio channel model for multi-polarized antenna system, Proc.IEEE Vehi.Tech. Conf, Oct.2001.
    [13]R.B.Ertel, P. Cardieri, K.W.Sowerby, T.S.Rappaport, J.H.Reed. Overview of spatial channel models for antenna array communication systems, IEEE personal commun. Mag. Feb 1998
    [14] E.Telatar and D.Tse. Capacity and mutual information of wideband multipath fading channel, IEEE Trans. Information Theory, July 2000
    [15] T.Svantesson. A physical MIMO radio channel model for multi-element multi-polarized antenna system, Proc. IEEE Vehi.Tech.Conf,Oct.2001
    [16] Q.H.Spencer, B.D.Jeffs, M.A.Jensen, and A.Lee Swindlehurst. Modeling the statistical time and angel of arrival characteristics of an indoor multipath channel, IEEE J. Selected Areas in Commun. March 2000
    [17]周林,MIMO系统自适应均衡技术研究[D],西安电子科技大学,2007年
    [18] 3GPP TR25.996-610.Spatial Channel Model for MIMO Simulations
    [19] IST-2003-507581 WINNER D5.4 v.1.4"Final Report on Link Level and System Level Channel Models"
    [20] International Telecommunication Union, Guidelines for evaluation of radio transmission technologies for imt-2000,Tech.Rep.ITU-R M.1225,1997
    [21]王文树,MIMO信道建模方法,山西电子技术,第2卷第2期,2009
    [22] K Yu. Modeling of Multiple-Input Multiple-Output radio propagation channels. Ph.D. dissertation, Royal Institute of Technology, Stockholln,Sweden,2002
    [23] K. Yu, M. Bengtsson , B. Ottersten, D .McNamara, P. Karlsson, and M.Beaeh. Second order Statisties of NLOS indoor MIMO channels based on 5.2GHz measurements, Proc. IEEE Global Telecommun .Conf. (GLOBECOM’01), Nov. 2001,1:pp.156一16
    [24] C. Chuah, D. N. C. Tse, J. M. Kahn, and R. A. Valenzue. Capacity scaling in MIMO wireless systems under correlated fading, IEEE Trans, Information Theory,2000,48(3); pp.637-650
    [25]肖海林,新一代无线通信系统中的MIMO信道建模与信道估计,电子科技大学博士学位论文,2004
    [26] D. S. Shiu, GJ. Fosehini, M. J. Gans, and J. M. Kahn, Fading correlation and its effect on the capacity of multi element antenna systems, IEEE Trans, Commun,Mar.2000,48(3): pp.502-513 [ 27 ] D. S. Shiu, Wireless communication using dual antenna arrays, Kluwer academic publishers,2000
    [28] A. EMoliseh. A channel model for MIMO systems in macro-and microcellular environments, Proc. IEEE 55th Vehi. Tech. Conf(VTC’02),May 2002,2: pp.655-659
    [29] Harrington R F,―Field computation by moment methods‖, New York: IEEE Press, 1992
    [30] Kunz K S,―The finite difference time domain method for electromagnetic‖, IEEE Press, 1994
    [31] Peter P Silvester, Giuseppe Pelosi,―Finite elements for wave electromagnetic: methods and techniques‖, IEEE Press, 1994
    [32] Robert C Hansen,―Geometric theory of diffraction‖, New York: IEEE Press,1981
    [33]吕剑刚,吕英华,李云庄,杜鹃,天线阵结构对非视距室内MIMO信道容量的影响,电子与信息学报,第28卷第9期,2006
    [34]吴志忠,移动通信无线电波传播,人民邮电出版社,2002
    [35]张业荣,竺南直,程勇.蜂窝移动通信网络规划与优化,电子工业出版社,2003
    [36] Hae Won Son and Nob Hoon M yung. A deterministic ray tube method for microcellular wave propagation prediction model. IEEE Trans on Antennas and Propagat, 1999, 47(8):1344-1350
    [37] Henry L.Bertoni. Radio Propagation for Modern Wireless Systems,1st ed., Publishing House of Electronics Industry, 2002
    [38] C.M.Peter et al. Wireless channel prediction in a modern office building using an image-based ray-tracing method. Proc. IEEE Vehi and Tech. conf. 1993, 1247-1251
    [39] Richard Yao. UWB Multipath Channel Model Based on Time-Domain UTD technique. IEEE Global Telecommunications Conference,2003,vol.3:1205-1210
    [40]顾晓龙,章文勋,云正清,金祯荣,利用可见性概念改进基于镜像原理,电波科学学报,Vol.16,No.4, December,2001
    [41]张业荣,张天仁,黄天霖,室内环境的视距传播模型,电波科学学报,Vol.13, No.3, September, 1998
    [42] Wolf, K. B., "Geometry and dynamics in refracting systems", European Journal of Physics 16: pp.14-20,1995
    [43] Fokko Jan Dijksterhuis. Lenses and Waves: Christiaan Huygens and the Mathematical Science of Optics in the Seventeenth Century,2004.
    [44] A. Lakhtakia, "Would Brewster recognize today's Brewster angle?" OSA Optics News, Vol. 15, No. 6, pp.14–18, 1989.
    [45] Liang Chuntao, Zhu Jieshou, Cao Jiamin, Luo Xiansong, Lei Jianshe, The methods and application of 3D ray tracing on spherical coordinate, Computing Techniques For Geophysical and Geochenical Exploration; vol.03,2001
    [46]曹伟,电磁场数值计算,南京邮电大学,2006
    [47] Chen Shin hon, Jeng Shyh kang. An SBR / Image approach for radio wave propagation inindoor environments with metallic furniture[ J]. IEEE Trans on AP , 1997, 45(1) : 98-106
    [48]袁珍,陈泓,使用射线追踪法研究天线极化对室内场强的影响,移动通信,2008
    [49]张保华,乐中柱,吴志忠,用SBR法研究室内微蜂窝的电波传播,江苏南京,南京邮电学院学报. Vol. 57, No. 2.August,1998
    [50]吕剑刚,多入多出无线通信技术研究,北京邮电大学博士学位论文,2006PP.24-30
    [51] LUO Zhen-dong, GAO Hong, LIU Yuan-an, GAO Jin-chun, Formula and Asymptotic Bound of MIMO Channel Capacity, Journal of beijing university of posts and telecommuniocations, 2006,29(6)
    [52]周勇,基于MIMO系统的信道容量分析,甘肃科技纵横,Vol.35, No. 2,2006.
    [53]蒋学勤,时变MIMO信道容量的计算,贵州科技工程职业学院学报, vol.3, No.1,March ,2008.
    [54] Pohl V, Jungnickel V, Haustein T, et al. Antenna spacing in MIMO indoor channels. IEEE VTC,2002,2:pp.749-753.
    [55] J. W. Mckown, R. L.Hamilton,―Ray tracing as a Design Tool for radio network‖, IEEE Networks Magazines, pp.27-30, Nov.1991.
    [56] Hammoudeh, A. M. ;Allen, G; Millimeter wavelengths radio wave propagation for line-of-sight indoor microcellular mobile communications. IEEE Transactions on Vehicular Technology. Vol.44(No.3),1995
    [57] W.Q. Malik, C.J. Stevens and D.J. Edwards," Spatio-temporal ultra wideband indoor propagation modeling by reduced complexity geometric optics", IEEE, Restrictions apply. March 12, 2009.
    [58] A. Grennan, C. Downing, and B. Foleyt, A Geometric Interpretation Of Indoor MIMO, Antennas and Propogation,2007.EuCAP2007.pp.1-10.
    [59] Nicholas J. Kirsch and Kapil R. Dandekar, "Modeling Effects of Mutual Coupling Considered at Both Ends of a MIMO Channel using Computational Electromagnetics",2004 IEEE.
    [60] Sugahara, H.Watanabe, Y.Ono, T.Okanoue, K.Yarnazaki. Development and Experiment Evaluations of―RS-2000‖-A Propagation Simulator for UWB Systems, Ultra Wideband Systems,2004.Joint with Conference on Ultra-wideband Systems and Technologies. Joint UWB ST & IWUWBS.2004 International Workshop on.
    [61]王慧民,用时域射线跟踪法研究UWB室内信道模型,南京邮电大学硕士学位论文,2009,pp.45-46