认知超宽带无线通信系统干扰抑制的研究
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摘要
认知无线电与超宽带无线通信技术相结合解决十扰抑制问题是当前研究的热点之一。本文选题来源于国家863计划等项目,具有重要的理论意义及广阔的应用前景。
本文深入探讨了基于我国UWB频谱规划的多用户干扰抑制脉冲设计、窄带干扰抑制认知超宽带自适应脉冲设计以及认知无线网络干扰避免等关键技术,主要完成了以下具有创新性的研究成果：
针对超宽带多用户十扰问题,基于厄米特矩阵特征向量分解算法,提出了一种基于Polycycle信号的UWB正交脉冲设计方法。该方法产生的正交成形脉冲,具有较高的频谱利用率,脉冲函数自相关性强,互相关性弱,利于多用户检测。分析了2PPM-THMA UWB系统的传输性能,仿真结果表明正交成形脉冲抗多用户干扰能力优于Scholtz脉冲。
针对UWB的4.2-4.8GHz频段干扰抑制问题,基于直接序列扩频-载波调制算法,提出了一种UWB频率自适应DAA实现方案,可以保证稳定的UWB正常发射功率,具有较高的传输效率,能够有效解决4.2-4.8GHz频段DAA的问题。
针对超宽带与窄带系统共存问题,基于变换域通信系统思想,提出了基于Rayleigh信号的窄带干扰抑制和基于双极性高斯信号的窄带干扰抑制,两种认知超宽带自适应脉冲设计方法。这两种设计方法产生的认知UWB自适应脉冲的PSD,可以实现自适应的任意频段陷波,具有灵活的干扰避免能力,满足我国超宽带频谱规划和DAA的要求,并具有较强的窄带干扰抑制能力。
针对认知无线网络分布条件下的最优化问题,提出了一种基于非合作博弈的认知Ad Hoc网络干扰避免算法。在认知Ad Hoc网络背景下,采用基于干扰惩罚的净效用函数,证明了该算法纳什均衡点的存在性。仿真结果表明,通过引入干扰惩罚机制,在满足对主用户最大干扰限制的条件下,保证了认知用户通信公平性,实现了净效用和收敛速度的最佳折衷,本文提出的算法比SINR平衡算法,具有更快的收敛速度,更低的平均发射功率,更好地满足了CR用户实时通信的需求,并具有对用户数量不敏感,算法复杂度低等特点。
论文的最后对全文进行了总结,并对与论文研究方向相关的领域进行了展望。
Nowadays cognitive ultra wideband (CUWB), which is emerged to improve UWB coexistence with narrowband systems, is becoming the research focus. The subject selection of this dissertation is originated from the national high technology research and development program of china (863program), etc. Interferences suppression techniques for CUWB are mainly discussed, which is quite significant to theoretic research and has a wide application prospect.
Based on the deep research of the UWB pulse design for multi-user interference (MUI) suppression based on UWB spectral mask in China, the CUWB adaptive pulse design for narrow band interference (NBI) suppression and the game theory for interferences suppression in the cognitive radio network, the following innovative results are achieved:
Aiming at suppressing the MUI for the UWB systems, a design algorithm to generate orthogonal UWB pulses is proposed based on the eigenvector of Hermite matrix and Polycycle signal. The shaped pulses have many characteristics in favor of multi-access detection, such as high spectral occupation rate, high auto-correlation and weak cross-correlation. Furthermore, through the analyses and simulation of suppressing MUI in2PPM-THMA UWB systems, the proposed pulses are proved to have stronger anti-interference ability than that of Scholtz pulse.
Aiming at suppressing the frequency band interference locating at4.2-4.8GHz for the UWB systems, a frequency adaptive detect and avoid (DAA) design method is proposed based on direct sequence spread spectrum-carrier modulation method. Simulation results show that the proposed DAA method can provide stable UWB normal transmit power and have high transmission efficiency.
Aiming at suppressing NBI for the UWB systems, two cognitive UWB adaptive pulse design methods are proposed based on the idea of transform domain communication system,namely,the NBI suppressions based on Rayleigh signal and combined bipolar Gaussian signal. Simulation results show that the power spectral density (PSD) of the proposed pulses produces arbitrary spectral notches with flexible cognitive avoid ability and meets with the UWB spectral mask in China. Moreover, the proposed pulses are proved to have stronger anti-interference performance.
Aiming at solving the distribution optimization problems in the cognitive radio network, a interference avoidance algorithm based on non-cooperative game theory in cognitve Ad Hoc network is proposed. The net utility function based on interference pricing function is constructed, and the existence and existence of the Nash equilibrium are proved by mathematics derivation. The analysis and simulation results show that the proposed algorithm is at the premise of guaranteeing the primary user interference temperature constraints, can realize the best compromise between net utility and convergence rate.Furthermore,the proposed algorithm, compared with the SINR balancing algorithm,has faster convergence rate and lower average transmit power.In addition, the proposed algorithm can satisfy the CR user demand for real-time communication,and has the advantages of insensitivity to user number and moderate algorithm complexity.
The final chapter summarizes the content of the whole dissertation and forecasts valuable research directions.
本文深入探讨了基于我国UWB频谱规划的多用户干扰抑制脉冲设计、窄带干扰抑制认知超宽带自适应脉冲设计以及认知无线网络干扰避免等关键技术,主要完成了以下具有创新性的研究成果：
针对超宽带多用户十扰问题,基于厄米特矩阵特征向量分解算法,提出了一种基于Polycycle信号的UWB正交脉冲设计方法。该方法产生的正交成形脉冲,具有较高的频谱利用率,脉冲函数自相关性强,互相关性弱,利于多用户检测。分析了2PPM-THMA UWB系统的传输性能,仿真结果表明正交成形脉冲抗多用户干扰能力优于Scholtz脉冲。
针对UWB的4.2-4.8GHz频段干扰抑制问题,基于直接序列扩频-载波调制算法,提出了一种UWB频率自适应DAA实现方案,可以保证稳定的UWB正常发射功率,具有较高的传输效率,能够有效解决4.2-4.8GHz频段DAA的问题。
针对超宽带与窄带系统共存问题,基于变换域通信系统思想,提出了基于Rayleigh信号的窄带干扰抑制和基于双极性高斯信号的窄带干扰抑制,两种认知超宽带自适应脉冲设计方法。这两种设计方法产生的认知UWB自适应脉冲的PSD,可以实现自适应的任意频段陷波,具有灵活的干扰避免能力,满足我国超宽带频谱规划和DAA的要求,并具有较强的窄带干扰抑制能力。
针对认知无线网络分布条件下的最优化问题,提出了一种基于非合作博弈的认知Ad Hoc网络干扰避免算法。在认知Ad Hoc网络背景下,采用基于干扰惩罚的净效用函数,证明了该算法纳什均衡点的存在性。仿真结果表明,通过引入干扰惩罚机制,在满足对主用户最大干扰限制的条件下,保证了认知用户通信公平性,实现了净效用和收敛速度的最佳折衷,本文提出的算法比SINR平衡算法,具有更快的收敛速度,更低的平均发射功率,更好地满足了CR用户实时通信的需求,并具有对用户数量不敏感,算法复杂度低等特点。
论文的最后对全文进行了总结,并对与论文研究方向相关的领域进行了展望。
Nowadays cognitive ultra wideband (CUWB), which is emerged to improve UWB coexistence with narrowband systems, is becoming the research focus. The subject selection of this dissertation is originated from the national high technology research and development program of china (863program), etc. Interferences suppression techniques for CUWB are mainly discussed, which is quite significant to theoretic research and has a wide application prospect.
Based on the deep research of the UWB pulse design for multi-user interference (MUI) suppression based on UWB spectral mask in China, the CUWB adaptive pulse design for narrow band interference (NBI) suppression and the game theory for interferences suppression in the cognitive radio network, the following innovative results are achieved:
Aiming at suppressing the MUI for the UWB systems, a design algorithm to generate orthogonal UWB pulses is proposed based on the eigenvector of Hermite matrix and Polycycle signal. The shaped pulses have many characteristics in favor of multi-access detection, such as high spectral occupation rate, high auto-correlation and weak cross-correlation. Furthermore, through the analyses and simulation of suppressing MUI in2PPM-THMA UWB systems, the proposed pulses are proved to have stronger anti-interference ability than that of Scholtz pulse.
Aiming at suppressing the frequency band interference locating at4.2-4.8GHz for the UWB systems, a frequency adaptive detect and avoid (DAA) design method is proposed based on direct sequence spread spectrum-carrier modulation method. Simulation results show that the proposed DAA method can provide stable UWB normal transmit power and have high transmission efficiency.
Aiming at suppressing NBI for the UWB systems, two cognitive UWB adaptive pulse design methods are proposed based on the idea of transform domain communication system,namely,the NBI suppressions based on Rayleigh signal and combined bipolar Gaussian signal. Simulation results show that the power spectral density (PSD) of the proposed pulses produces arbitrary spectral notches with flexible cognitive avoid ability and meets with the UWB spectral mask in China. Moreover, the proposed pulses are proved to have stronger anti-interference performance.
Aiming at solving the distribution optimization problems in the cognitive radio network, a interference avoidance algorithm based on non-cooperative game theory in cognitve Ad Hoc network is proposed. The net utility function based on interference pricing function is constructed, and the existence and existence of the Nash equilibrium are proved by mathematics derivation. The analysis and simulation results show that the proposed algorithm is at the premise of guaranteeing the primary user interference temperature constraints, can realize the best compromise between net utility and convergence rate.Furthermore,the proposed algorithm, compared with the SINR balancing algorithm,has faster convergence rate and lower average transmit power.In addition, the proposed algorithm can satisfy the CR user demand for real-time communication,and has the advantages of insensitivity to user number and moderate algorithm complexity.
The final chapter summarizes the content of the whole dissertation and forecasts valuable research directions.
引文
[1]FCC.The commission's rules regarding ultra-wideband transmission systems: First Report and Order.02-48 revision of part 15[S]. Washington. DC:FCC, 2002.
[2]LIUQING Y, GEORGIOS B G. Ultra wideband communications [J].IEEE Signal Processing Magazine,2004:26-55.
[3]陈如明.UWB技术的发展前景及其频率规划[J].移动通信,2009：71-74.
[4]朱刚.超宽带(UWB)原理与干扰[M].北京：清华大学出版社,2009.
[5]魏为民,唐振军.UWB超宽带无线通信技术研究[J].计算机工程与设计,2008,29(11)：2748-2750.
[6]葛利嘉,曾凡鑫,刘郁林,等.超宽带无线通信[M].北京：国防工业出版社,2006.
[7]Jorge R.Fernandes, David Wentzloff.Recent advances in IR-UWB transceivers: an overview[C]//The IEEE International Symposium on Circuits and Systems 2010, ISCAS 2010,2010:3284-3287.
[8]宁静.超宽带(UWB)与现有无线通信系统共存性的研究[D].汕头：汕头大学,2007.
[9]赵同明.超宽带系统与其他通信系统相互干扰研究[D].济南：山东大学,2007.
[10]陈思,张邦宁,郭道省MB-OFDM超宽带技术的抗干扰性能研究[J].系统仿真学报,2008,20(1)：120-123.
[11]刘鑫,谭学治.认知无线电中OFDM多用户频谱分配[J].哈尔滨工程大学学报,2009,30(10)：1165-1169.
[12]郭彩丽,冯春燕,曾志民.认知无线电网络技术及应用[M].北京：电子工业出版社,2010.
[13]J.Mitola. Cognitive radio:An integrated agent architecture for software defined radio [D]. Stockholm, Sweden:RoyalInst. Technol. (KTH),2000.
[14]IEEE P 1901.1TM/D01, IEEE P1900 Working Group [EB/OL]. http:// grouper.ieee.org/groups/emc/1900/index.html.
[15]W.Tuttlebee,et al著,杨小牛,等译.软件无线电技术与实现[M].北京：电子工业出版社,2004.
[16]Tcclancy Ⅲ. Dynamic spectrum access in cognitive radio networks [D]. Keith Nolan:Philosophy University of Maryland,2005.
[17]周小飞,张宏纲.认知无线电原理及应用[M].北京：北京邮电大学出版社,2006.
[18]An He, Kyung Kyoon Bae, Timothy R. Newman, et al. A survey of artificial intelligence for cognitive radios [J]. IEEE Transactions on Vehicular Technology,2010,59(4):1578-1592.
[19]Federal Communication Commission.Facilitating opportunities for flexible, efficient,and reliable spectrum use employing cognitive radio technologies, NPRM&Order,ET Docket no.03-108[S],FCC 03-322,2003.
[20]王建宣,张严林WiMedia超宽带平台的ECMA-368标准MAC协议[J].电信工程技术与标准化,2007,(2)：26-29.
[21]吴超,曹仇英,仇东平.基于ECMA-368标准的超宽带系统MAC层的设计方案[J].广东通信技术,2008(10)：44-48.
[1]朱刚.超宽带(UWB)原理与干扰[M].北京：清华大学出版社,2009.
[2]Parr B., Byunglok Cho, Wallace K., Zhi Ding. A novel ultra-wideband pulse design algorithm [J]. Communications Letters, IEEE.2003,7(5):219-221.
[3]陈昭男,王红星,张磊,等.一种高频谱利用率的PSWF咏冲组设计[J].无线电工程,2010,40(11)：27-29.
[4]Wen Hu, Guoxin Zheng.Orthogonal Hermite pulses used for UWB M-ary communication[C]//International Conference on Information Technology Coding and Computing 2005, ITCC 2005,2005:97-101.
[5]李争.UWB通信技术及其算法研究[D].哈尔滨：哈尔滨工程大学,2006.
[6]Zhang Honggang, Kohno Ryuji. Soft spectrum adaptation in UWB impulse radio[C]//14th IEEE 2003 International Symposium on Personal,Indoor and Mobile Radio Communications,Proceedings, PIMRC 2003,2003,9:289-293.
[7]Zhang Honggang, Kohno Ryuji. SSA realization in UWB multiple access systems .based on prolate spheroidal wave functions[C]//IEEE Wireless Communications and Networking Conference 2004, WCNC 2004,2004,3:1794-1799.
[8]Usuda K, Honggang Zhang, Nakagawa M. M-ary pulse shape modulation for PSWF-based UWB systems in multipath fading environment[C]//2005 IEEE Global Telecommunications Conference,GLOBECOM 2004,2004,6:3498-3504.
[9]周小飞,张宏纲.认知无线电原理及应用[M].北京：北京邮电大学出版社,2006.
[10]葛利嘉,曾凡鑫,刘郁林,等.超宽带无线通信[M].北京：国防工业出版社,2006.
[11]方健贵,李思敏,周海京.超宽带多周期波形脉冲发生器的产生技术[J].桂林电子科技大学学报,2007,27(2)：95-98.
[12]C.GWu, GX.Jiang, H.B.Zhu. SSA realization for spectrum shaping and NBI suppression in cognitive UWB radios. Microwave And Millimeter Wave Technology[C]//2008 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2008,2008:1454-1457.
[13]Fangmin Xu, Wei Zhong, Zheng Zhou. Cognitive interference suppress in UWB system using modified Hermite polynomials pulse[C]//2006 International Symposium on Communications and Information Technologies, ISCIT 2006, 2006:1216-1220.
[14]程云鹏,张凯院,徐仲.矩阵论[M].西安：西北工业大学出版社,2006.
[15]廖安平,刘建州.矩阵论[M].湖南：湖南大学出版社,2005.
[16]Wu Xuan-li, Qiu Xin, Ning Xiao-yan. Orthogonal hermite functions based orthogonal pulse shaping method[C]//2009 Canadian Conference on Electrical and Computer Engineering, CCECE 2009,2009:496-499.
[17]申建中,何修富,张玉水.微波、超短波自适应干扰抵消器的实现[J].系统工程理论与实践,2002(9)：84-87.
[18]Dotlic,I.,Kohno,R. Design of the family of orthogonal and spectrally efficient UWB waveforms[J]. IEEE Journal of Selected Topics in Signal Processing,2007, 6(1):21-30.
[19]Wang Feng, Xu Chengqi, Zhang Yan. A new modulation scheme for IR-UWB communication systems [J]. Journal of Electronics (China),2009,26 (4):497-502.
[20]A.Giorgetti, M.Chiani, M.Z.Win. Performance of TH-PPM systems with narrowband interferes[C]//2004 International Conference on Communications, ICC 2004,2004 (1):295-299.
[21]夏斌,谢楠TH-PPM UWB信噪比的估计方法[J].吉林大学学报,2008,26(1)：44-47.
[22]M.Di Renzo, F.Graziosi, F.Santucci. A framework for the analysis of UWB receivers in sparse multipath channels with intra-pulse interference via pade expansion [J]. IEEE Trans.Commun,2008(56):535-541.
[23]D.Cassioli, M.Z.Win, F.Vatalaro, A.F.Molisch. Low complexit rake receivers in ultra-wideband channels [J]. IEEE Trans.Wireless Commun,2007(6):1265-1275.
[24]周毅.脉冲无线超宽带系统收发体制性能研究[D].电子科技大学,2009.
[25]A.Skelton, S.Fu. An improved conditional maximum likelihood detector for noncoherent uwb communication [J]. IEEE Commun, Lett',2009,13(1):7-9.
[26]Maria-Gabriella,Di Benedetto,Guerino Giancola著,葛利嘉,朱林,袁晓芳,等译.超宽带无线电基础[M].北京：电子工业出版社,2005.
[1]朱刚.超宽带(UWB)原理与干扰[M].北京：清华大学出版社,2009.
[2]FCC. Spectrum policy task force report, ET Docket No.02-155[S].2002: November 2002.
[3]Akyildiz Ian F., Lee Won-yeol, Vuran Mehmet C., Mohanty Shantidev. Next generation dynamic spectrum access cognitive radio wireless networks:A survey [J].Computer Networks.2006,50(13):2127-2159.
[4]郭彩丽,冯春燕,曾志民.认知无线电网络技术及应用[M].北京：电子工业出版社,2010.
[5]刘佳.认知超宽带的频谱感知及波形设计[D].哈尔滨：哈尔滨工程大学,2009.
[6]Ghozzi Mohamed, Marx Francois, Dohler Mischa. Cyclostatilonarilty-based test for detection of vacant frequency bands[C]//Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM 2006, 2006:1-5.
[7]Zeng Yonghong, Liang Ying-Chang. Covariance based signal detections for cognitive radio[C]//IEEE Symposium on New Froniters in Dynamic Spectrum Access Networks 2007, DySPAN 2007,2007:202-207.
[8]Lehtomaki J.J., Vartiainen J., Juntti M.,Saarnisaari H. Spectrum sensing with forward methods[C]//Military Communications Conference 2006,MILCOM 2006,2006:1-7.
[9]周小飞,张宏纲.认知无线电原理及应用[M].北京：北京邮电大学出版社,2006.
[10]Tang H.Some physical layer issues of wide-band cognitive radio system [C]// 2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks,DySPAN 2005,2005:151-159.
[11]王九九.直接序列扩频超宽带抗干扰技术研究[D].北京：北京交通大学,2009.
[12]蒋潺潺.基于软频谱自适应的DS-UWB DAA流程研究[D].北京：北京交通大学,2010.
[13]朱丽平,邹慧兰,朱义胜.基于检测与躲避的超宽带无线通信频谱整形技术[J]中央民族大学学报,2009,18(1)：64-67.
[14]蒋潺潺,朱刚,王九九.超宽带干扰检测避免流程的改进研究[J].重庆邮电大学学报,2010,22(2)：159-164.
[15]R.Giuliano, F.Mazzenga. Impact of detect and avoid in UWB regulation process[C]//2008 IEEE International Conference on Ultra-Wideband, ICUWB 2008,2008,3:67-70.
[16]F.Facchini, R.Giuliano, F.Mazzenga. Ultra-wideband detect and avoid procedure for WiMAX victims [J]. IET Communications,2009,3(2):268-278.
[17]蔡成林,周桃云,施卉刖|华等.超忧带纠合脉冲优化设计及其性能分析[J].吉林大学学报,2010,40(4)：1150-1154.
[18]陈世国,吉世印,刘万松,等.鉴于小波分析的高斯脉冲成形的递归实现[J].物理学报,2009,58(5)：3041-3046.
[19]WLIU, R YANG, Z ZHOU, et al. A novel frequency coded orthogonal UWB pulse design for narrowband interference suppression [C]//18th IEEE 2003 International Symposium on Personal,Indoor and Mobile Radio Communications,Proceedings,PIMRC 2007, Athens,2007:1-8.
[20]赵成林,张学川,孙学斌,蒋挺MB-OFDM认知无线电子载波编码技术[J].北京邮电大学学报,2010,33(6)：33-37.
[21]A.Durantini, R.Giuliano,F. Mazzenga.Detect and avoid procedure for UWB interfernce mitigation on narrowband systems[C]//3rd International Symposium on Wireless Communication Systems,ISWCS 2006,2006:428-432.
[22]王爱华,夏彩杰,安建平,等.改进的频域窄带干扰陷波器[J].北京理工大学学报,2007,27(12)：1098-1101.
[1]German E.H. Transform domain signal processing study final report [Z].1988.
[2]Andren C. Low probability-of-intercept communication system [P].US.
[3]Lee M.J. Wavelet domain communication system (WDCS):Packet-Based Wavelet Spectral Estimation and M-ary Signaling [D].Air Force Institution of Technology,2001.
[4]郭彩丽,冯春燕,曾志民.认知无线电网络技术及应用[M].北京：电子工业出版社,2010.
[5]Chakravarthy V.D., Shaw A.K., Temple M.A., et al. Cognitive radio-an adaptive waveform with spectral sharing capability[C]//IEEE Wireless Communications and Networking Conference 2005, WCNC 2005,2005:724-729.
[6]Dillard G.M., Reuter M., Zeiddler J., et al. Cyclic code shift keying:a low probability of intercept communication technique [J].IEEE Transactions on Aerospace and Electronic Systems,2003,39(3):786-798.
[7]赵刚.扩频通信系统实用仿真技术[M].北京：国防工业出版社,2009.
[8]Milstein L B.Interference rejection techniques in spread spectrum communications [J].Proceedings of IEEE,1988,76(6):657-671.
[9]Tazebay M V, Akansu A N. Adaptive subband transform in time-frequency excisers for DSSS communication systems[J].IEEE Trans on Signal Processing, 1995,43(11):2776-2782.
[10]郭锋,胡江.干扰抑制的UWB脉冲设计与性能分析[J].电波科学学报,2009,24(2)：359-364.
[11]张洪欣,吕英华,贺鹏飞.一种基于脉冲压缩的UWB成形脉冲设计方法[J].北京邮电大学学报,2007,30(1)：132-135.
[12]周刘蕾,朱洪波,张乃通.基于认知无线电的超宽带系统中窄带干扰抑制技术[J].通信学报,2008,29(3)：135-140.
[13]张洪欣,张金玲.消除窄带干扰的UWB正交成形脉冲序列设计[J].吉首大学学报,2007,28(6)：65-69.
[14]洪利,马俊飞,刘玮,周正.窄带干扰抑制的一种新型频率编码正交UWB脉冲设计[J].通信技术,2007,40(11)：91-93.
[15]郑红伟,周正.超宽带技术在认知无线电中的应用研究[J].数据通信,2006(2)：11-13.
[16]Mishra,S.M.,Brodersen,R.W. Cognitive technology for improving ultra-wide band (UWB) coexistence[C]//2007 IEEE International Conference on Ultra-Wideband,ICUWB 2007,2007:253-258.
[17]阮成礼.超宽带天线理论与技术[M].哈尔滨：哈尔滨工业大学出版社,2006.
[18]邹卫霞,戴巍巍,赵立听,等.设计UWB脉冲的算法研究[J].电路与系统学报,2006,11(1)：95-97.
[19]王爱华,夏彩杰,安建平,等.改进的频域窄带干扰陷波器[J].北京理工大学学报,2007,27(12)：1098-1101.
[20]周刘蕾,汪一鸣,张乃通.超宽带通信系统窄带干扰变换域抑制方法[J].电波科学学报,2008,23(6)：1154-1158.
[21]陈健,阔永红,李建东等.通信信号自动识别方法[J].电路与系统学报,2005,10(5)：102-109.
[22]丁汉清,杨家玮,赵志远.认知无线电中自适应分步合并协作频谱感知算法[J].西安电子科技大学学报,2010,37(4)：665-670.
[23]仇洪冰,王玫,冒劫.采用能量检测的UWB应答式定位系统[J].西安电子科技大学学报,2008,35(2)：362-366.
[24]吴珊,吴利民,单财良.基于高斯脉冲的认知超宽带无线电波形设计[J].空军雷达学院学报,2009,23(4)：291-296.
[25]郭勇.基于高斯脉冲导数的正交UWB波形最优化设计[J].无线通信技术,2008(3)：1-4.
[26]严晓蓉,许宗泽.一种新的UWB脉冲成形方案[J].电气电子教学学报,2009,31(2)：54-56.
[27]Xiaoli Chu, Murch, R.D.. The effect of NBI on UWB time-hopping systems [J]. IEEE Transactions on Wireless Communications,2004,3(5):1431-1436.
[28]徐湛,安建平,杨凯.超宽带能量检测接收机的积分时间优化方法[J].北京理工大学学报,2009,29(12)：1100-1103.
[29]SHAMAN H. Ultra-wideband (UWB) bandpass filter with embedded band notch structures [J]. IEEE Microwave and Wireless Components Letters,2007, 17(3):193-195.
[30]Maria-Gabriella,Di Benedetto,Guerino Giancola著,葛利嘉,朱林,袁晓芳,等译.超宽带无线电基础[M].北京：电子工业出版社,2005.
[31]周先军,胡修林,张蕴玉,常春.一种TH-PPM UWB快速捕获方案[J].系统工程与电子技术,2007,29(3)：357-360.
[32]杨凯,安建平,卜祥元.传输参考超宽带信号功率谱密度分析[J].北京理工大学学报,2007,27(5)：441-445.
[33]何丽娅PAM-TH-UWB系统抗UMTS干扰性能分析[J].南京邮电大学学报,2007,27(6)：72-75.
[1]郭彩丽,冯春燕,曾志民.认知无线电网络技术及应用[M].北京：电子工业出版社,2010.
[2]J.Mitola. Cognitive radio for flexible mobile multimedia communications [C]// Sixth International Workshop on Mobile Multimedia Communicaitons, MoMuC 1999,1999:3-10.
[3]RW.B roderson, Wolisz, D.Cabric, S.M.Mishra, et al. CORVUS:a cognitive radio approach for usage of virtual unlicensed spectrum [EB/OL]. Available: http://bwrc.eecs.berkeley.edu/Reaearch/MCMA/CR White paper nall.pdf.
[4]Chowdhury, K.R., Akyldiz, I.F. OFDM-based common control channel design for cognitive radio Ad Hoc networks [J].IEEE Transactions on Mobile Computing,2011,10(2):228-238.
[5]Krenik, W., Batra, A. Cognitive radio techniques for wide area networks [C]// Design Automation Conference 2005, DAC 2005,2005:409-412.
[6]Nautilus Project Website [EB/OL].Available from http://www.cs.ucsb.edu/ htzheng/cognitive/nautilus.html.
[7]Buddhikot,M.M.,Kolodzy,P.,Miller,S.,et al. DIMSUMnet:new directions in wireless networking using coordinated dynamic spectrum[C]//World of Wireless Mobile and Multimedia Networks 2005,WoWMoM 2005,2005:78-85.
[8]The XG Vision.V2.0[EB/OL].http://www.ir.bbn.com/projects/xmac/vision. html.
[9]End-to-End Reconfiguration[EB/OL].http://e2r.motlabs.com/DE2 Res P5 D5.3 50727.
[10]IEEE 802 LAN/MAN Standards Committee 802.22 WG[EB/OL].http://www. ieee802.org/22/.
[11]冯志勇,张平,郎保真,等.认知无线网络理论与关键技术[M].北京：人民邮电出版社,2011.
[12]J.Mitola. Cognitive radio:an integrated agent architecture for software defined radio [D]. Royal Institute of Technology,2000.
[13]Bruce A.Fette,等著.赵知劲,郑仕链,尚俊娜,译.认知无线电技术[M].北京：科学出版社,2008.
[14]Tao Qin, Leung, C. A Cost Minimization Algorithm for a Multiuser OFDM Cognitive Radio System[C]//IEEE Pacific Rim Conference on Communication, Computers and Signal Processing,2007:518-521.
[15]邱晶,冯文江,邹卫改.多小区OFDMA系统中的分布式资源分配策略研究[J]北京邮电大学报,2008,35(2)：340-344.
[16]喻的雄,蔡跃明,吴丹,等OFDMA上行链路中基于博弈论的子载波和功率分配算法[J]电子与信息学报,2010,32(4)：775-780.
[17]German E.H. Transform domain signal processing study final report [Z].1988.
[18]C.Sung, W.Wong. A noncooperative power control game for multirate CDMA data networks[J].IEEE Transactions on Wireless Communications,2003,2 (1):186-190.
[19]D.Krishnaswamy. Game theoretic formulations for network-assisted resource management in wireless networks[C]//IEEE Vehicular Technology Conference Fall 2002,VTC Fall 2002,2002:1312-1316.
[20]M.Hayajneh, C.Abdallah. Distributed joint rate and power control game-theoretic algorithms for wireless data[J].IEEE Communications Letters,2004, 8(8):511-513.
[21]S.Ginde, R.M.Buehrer, J.Neel. A game theoretic analysis of the joint link adaptation and distribution power control in GPRS[C]//IEEE Vehicular Technology Conference Fall 2003,Fall VTC 2003,2003:732-736.
[22]Wei Wang,Xin Liu.List-coloring based channel allocation for open-spectrum wireless networks[C]//IEEE Vehicular Technology Conference Fall 2005,VTC Fall 2005,2005:690-694.
[23]Haitao Zheng,Chunyi Peng.Collaboration and fairness in opportunistic spectrum access[C]//2005 IEEE International Conference on Communications, ICC 2005,2005:3132-3136.
[24]Lili Cao,Haitao Zheng.Distributed spectrum allocation via local bargaining[C] //2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks,IEEE SECON 2005,2005:475-486.
[25]廖楚林,陈劫,唐友喜,等.认知无线电中的并行频谱分配算法[J].电子与信息学报,2007,29(7)：1608-1611.
[26]Zhao Q.,Tong L.,Swami A.,et al.Decentralized cognitive MAC for opportunis-tic spectrum access in ad hoc networks:A POMDP framework[J].IEEE Journal on Selected Areas in Communications,2007,25 (3):589-600.
[27]Zhao Q.,Tong L.,Swami A.Decentralized cognitive MAC for dynamic spectrum access[C]//2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks,IEEE DySPAN 2005,2005: 224-232.
[28]Yunxia Chen,Qing Zhao,Swami A.Distributed cognitive MAC for energy-constrained opportunistic spectrum access[C]//2006 Military Communications Conferece,MILCOM 2006,2006:1-7.
[29]Zhao Q.,Tong L.,Swami A.,et al. Cross-layer design of opportunistic spectrum access in the presence of sensing error[C]//2006 40th Annual Conference on Information Sciences and Systems,CISS 2006,2006:778-782.
[30]江沸菠.UWB技术及其在Ad Hoc网络中的应用研究[D].湖南：湖南师范大学,2007.
[31]Glisic Savo G. Advanced wireless communications:4G cognitive and coopera-tive broadband technologies[M].Wiley,2007.
[32]Fangmin Xu, Luyong Zhang, Zheng Zhou,et al. Adaptive power control for cooperative UWB network using potential game theory[C]//2007 IEEE Wireless Communications and Networking Conference,WCNC 2007,2007: 1620-1624.
[33]Novakovic D M,Dukic M L. Evolution of the power control techniques for DS-CDMA toward 3G wireless communication systems [J].IEEE Communications Surveys,2000,3(4):2-5.
[2]LIUQING Y, GEORGIOS B G. Ultra wideband communications [J].IEEE Signal Processing Magazine,2004:26-55.
[3]陈如明.UWB技术的发展前景及其频率规划[J].移动通信,2009：71-74.
[4]朱刚.超宽带(UWB)原理与干扰[M].北京：清华大学出版社,2009.
[5]魏为民,唐振军.UWB超宽带无线通信技术研究[J].计算机工程与设计,2008,29(11)：2748-2750.
[6]葛利嘉,曾凡鑫,刘郁林,等.超宽带无线通信[M].北京：国防工业出版社,2006.
[7]Jorge R.Fernandes, David Wentzloff.Recent advances in IR-UWB transceivers: an overview[C]//The IEEE International Symposium on Circuits and Systems 2010, ISCAS 2010,2010:3284-3287.
[8]宁静.超宽带(UWB)与现有无线通信系统共存性的研究[D].汕头：汕头大学,2007.
[9]赵同明.超宽带系统与其他通信系统相互干扰研究[D].济南：山东大学,2007.
[10]陈思,张邦宁,郭道省MB-OFDM超宽带技术的抗干扰性能研究[J].系统仿真学报,2008,20(1)：120-123.
[11]刘鑫,谭学治.认知无线电中OFDM多用户频谱分配[J].哈尔滨工程大学学报,2009,30(10)：1165-1169.
[12]郭彩丽,冯春燕,曾志民.认知无线电网络技术及应用[M].北京：电子工业出版社,2010.
[13]J.Mitola. Cognitive radio:An integrated agent architecture for software defined radio [D]. Stockholm, Sweden:RoyalInst. Technol. (KTH),2000.
[14]IEEE P 1901.1TM/D01, IEEE P1900 Working Group [EB/OL]. http:// grouper.ieee.org/groups/emc/1900/index.html.
[15]W.Tuttlebee,et al著,杨小牛,等译.软件无线电技术与实现[M].北京：电子工业出版社,2004.
[16]Tcclancy Ⅲ. Dynamic spectrum access in cognitive radio networks [D]. Keith Nolan:Philosophy University of Maryland,2005.
[17]周小飞,张宏纲.认知无线电原理及应用[M].北京：北京邮电大学出版社,2006.
[18]An He, Kyung Kyoon Bae, Timothy R. Newman, et al. A survey of artificial intelligence for cognitive radios [J]. IEEE Transactions on Vehicular Technology,2010,59(4):1578-1592.
[19]Federal Communication Commission.Facilitating opportunities for flexible, efficient,and reliable spectrum use employing cognitive radio technologies, NPRM&Order,ET Docket no.03-108[S],FCC 03-322,2003.
[20]王建宣,张严林WiMedia超宽带平台的ECMA-368标准MAC协议[J].电信工程技术与标准化,2007,(2)：26-29.
[21]吴超,曹仇英,仇东平.基于ECMA-368标准的超宽带系统MAC层的设计方案[J].广东通信技术,2008(10)：44-48.
[1]朱刚.超宽带(UWB)原理与干扰[M].北京：清华大学出版社,2009.
[2]Parr B., Byunglok Cho, Wallace K., Zhi Ding. A novel ultra-wideband pulse design algorithm [J]. Communications Letters, IEEE.2003,7(5):219-221.
[3]陈昭男,王红星,张磊,等.一种高频谱利用率的PSWF咏冲组设计[J].无线电工程,2010,40(11)：27-29.
[4]Wen Hu, Guoxin Zheng.Orthogonal Hermite pulses used for UWB M-ary communication[C]//International Conference on Information Technology Coding and Computing 2005, ITCC 2005,2005:97-101.
[5]李争.UWB通信技术及其算法研究[D].哈尔滨：哈尔滨工程大学,2006.
[6]Zhang Honggang, Kohno Ryuji. Soft spectrum adaptation in UWB impulse radio[C]//14th IEEE 2003 International Symposium on Personal,Indoor and Mobile Radio Communications,Proceedings, PIMRC 2003,2003,9:289-293.
[7]Zhang Honggang, Kohno Ryuji. SSA realization in UWB multiple access systems .based on prolate spheroidal wave functions[C]//IEEE Wireless Communications and Networking Conference 2004, WCNC 2004,2004,3:1794-1799.
[8]Usuda K, Honggang Zhang, Nakagawa M. M-ary pulse shape modulation for PSWF-based UWB systems in multipath fading environment[C]//2005 IEEE Global Telecommunications Conference,GLOBECOM 2004,2004,6:3498-3504.
[9]周小飞,张宏纲.认知无线电原理及应用[M].北京：北京邮电大学出版社,2006.
[10]葛利嘉,曾凡鑫,刘郁林,等.超宽带无线通信[M].北京：国防工业出版社,2006.
[11]方健贵,李思敏,周海京.超宽带多周期波形脉冲发生器的产生技术[J].桂林电子科技大学学报,2007,27(2)：95-98.
[12]C.GWu, GX.Jiang, H.B.Zhu. SSA realization for spectrum shaping and NBI suppression in cognitive UWB radios. Microwave And Millimeter Wave Technology[C]//2008 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2008,2008:1454-1457.
[13]Fangmin Xu, Wei Zhong, Zheng Zhou. Cognitive interference suppress in UWB system using modified Hermite polynomials pulse[C]//2006 International Symposium on Communications and Information Technologies, ISCIT 2006, 2006:1216-1220.
[14]程云鹏,张凯院,徐仲.矩阵论[M].西安：西北工业大学出版社,2006.
[15]廖安平,刘建州.矩阵论[M].湖南：湖南大学出版社,2005.
[16]Wu Xuan-li, Qiu Xin, Ning Xiao-yan. Orthogonal hermite functions based orthogonal pulse shaping method[C]//2009 Canadian Conference on Electrical and Computer Engineering, CCECE 2009,2009:496-499.
[17]申建中,何修富,张玉水.微波、超短波自适应干扰抵消器的实现[J].系统工程理论与实践,2002(9)：84-87.
[18]Dotlic,I.,Kohno,R. Design of the family of orthogonal and spectrally efficient UWB waveforms[J]. IEEE Journal of Selected Topics in Signal Processing,2007, 6(1):21-30.
[19]Wang Feng, Xu Chengqi, Zhang Yan. A new modulation scheme for IR-UWB communication systems [J]. Journal of Electronics (China),2009,26 (4):497-502.
[20]A.Giorgetti, M.Chiani, M.Z.Win. Performance of TH-PPM systems with narrowband interferes[C]//2004 International Conference on Communications, ICC 2004,2004 (1):295-299.
[21]夏斌,谢楠TH-PPM UWB信噪比的估计方法[J].吉林大学学报,2008,26(1)：44-47.
[22]M.Di Renzo, F.Graziosi, F.Santucci. A framework for the analysis of UWB receivers in sparse multipath channels with intra-pulse interference via pade expansion [J]. IEEE Trans.Commun,2008(56):535-541.
[23]D.Cassioli, M.Z.Win, F.Vatalaro, A.F.Molisch. Low complexit rake receivers in ultra-wideband channels [J]. IEEE Trans.Wireless Commun,2007(6):1265-1275.
[24]周毅.脉冲无线超宽带系统收发体制性能研究[D].电子科技大学,2009.
[25]A.Skelton, S.Fu. An improved conditional maximum likelihood detector for noncoherent uwb communication [J]. IEEE Commun, Lett',2009,13(1):7-9.
[26]Maria-Gabriella,Di Benedetto,Guerino Giancola著,葛利嘉,朱林,袁晓芳,等译.超宽带无线电基础[M].北京：电子工业出版社,2005.
[1]朱刚.超宽带(UWB)原理与干扰[M].北京：清华大学出版社,2009.
[2]FCC. Spectrum policy task force report, ET Docket No.02-155[S].2002: November 2002.
[3]Akyildiz Ian F., Lee Won-yeol, Vuran Mehmet C., Mohanty Shantidev. Next generation dynamic spectrum access cognitive radio wireless networks:A survey [J].Computer Networks.2006,50(13):2127-2159.
[4]郭彩丽,冯春燕,曾志民.认知无线电网络技术及应用[M].北京：电子工业出版社,2010.
[5]刘佳.认知超宽带的频谱感知及波形设计[D].哈尔滨：哈尔滨工程大学,2009.
[6]Ghozzi Mohamed, Marx Francois, Dohler Mischa. Cyclostatilonarilty-based test for detection of vacant frequency bands[C]//Cognitive Radio Oriented Wireless Networks and Communications 2006, CROWNCOM 2006, 2006:1-5.
[7]Zeng Yonghong, Liang Ying-Chang. Covariance based signal detections for cognitive radio[C]//IEEE Symposium on New Froniters in Dynamic Spectrum Access Networks 2007, DySPAN 2007,2007:202-207.
[8]Lehtomaki J.J., Vartiainen J., Juntti M.,Saarnisaari H. Spectrum sensing with forward methods[C]//Military Communications Conference 2006,MILCOM 2006,2006:1-7.
[9]周小飞,张宏纲.认知无线电原理及应用[M].北京：北京邮电大学出版社,2006.
[10]Tang H.Some physical layer issues of wide-band cognitive radio system [C]// 2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks,DySPAN 2005,2005:151-159.
[11]王九九.直接序列扩频超宽带抗干扰技术研究[D].北京：北京交通大学,2009.
[12]蒋潺潺.基于软频谱自适应的DS-UWB DAA流程研究[D].北京：北京交通大学,2010.
[13]朱丽平,邹慧兰,朱义胜.基于检测与躲避的超宽带无线通信频谱整形技术[J]中央民族大学学报,2009,18(1)：64-67.
[14]蒋潺潺,朱刚,王九九.超宽带干扰检测避免流程的改进研究[J].重庆邮电大学学报,2010,22(2)：159-164.
[15]R.Giuliano, F.Mazzenga. Impact of detect and avoid in UWB regulation process[C]//2008 IEEE International Conference on Ultra-Wideband, ICUWB 2008,2008,3:67-70.
[16]F.Facchini, R.Giuliano, F.Mazzenga. Ultra-wideband detect and avoid procedure for WiMAX victims [J]. IET Communications,2009,3(2):268-278.
[17]蔡成林,周桃云,施卉刖|华等.超忧带纠合脉冲优化设计及其性能分析[J].吉林大学学报,2010,40(4)：1150-1154.
[18]陈世国,吉世印,刘万松,等.鉴于小波分析的高斯脉冲成形的递归实现[J].物理学报,2009,58(5)：3041-3046.
[19]WLIU, R YANG, Z ZHOU, et al. A novel frequency coded orthogonal UWB pulse design for narrowband interference suppression [C]//18th IEEE 2003 International Symposium on Personal,Indoor and Mobile Radio Communications,Proceedings,PIMRC 2007, Athens,2007:1-8.
[20]赵成林,张学川,孙学斌,蒋挺MB-OFDM认知无线电子载波编码技术[J].北京邮电大学学报,2010,33(6)：33-37.
[21]A.Durantini, R.Giuliano,F. Mazzenga.Detect and avoid procedure for UWB interfernce mitigation on narrowband systems[C]//3rd International Symposium on Wireless Communication Systems,ISWCS 2006,2006:428-432.
[22]王爱华,夏彩杰,安建平,等.改进的频域窄带干扰陷波器[J].北京理工大学学报,2007,27(12)：1098-1101.
[1]German E.H. Transform domain signal processing study final report [Z].1988.
[2]Andren C. Low probability-of-intercept communication system [P].US.
[3]Lee M.J. Wavelet domain communication system (WDCS):Packet-Based Wavelet Spectral Estimation and M-ary Signaling [D].Air Force Institution of Technology,2001.
[4]郭彩丽,冯春燕,曾志民.认知无线电网络技术及应用[M].北京：电子工业出版社,2010.
[5]Chakravarthy V.D., Shaw A.K., Temple M.A., et al. Cognitive radio-an adaptive waveform with spectral sharing capability[C]//IEEE Wireless Communications and Networking Conference 2005, WCNC 2005,2005:724-729.
[6]Dillard G.M., Reuter M., Zeiddler J., et al. Cyclic code shift keying:a low probability of intercept communication technique [J].IEEE Transactions on Aerospace and Electronic Systems,2003,39(3):786-798.
[7]赵刚.扩频通信系统实用仿真技术[M].北京：国防工业出版社,2009.
[8]Milstein L B.Interference rejection techniques in spread spectrum communications [J].Proceedings of IEEE,1988,76(6):657-671.
[9]Tazebay M V, Akansu A N. Adaptive subband transform in time-frequency excisers for DSSS communication systems[J].IEEE Trans on Signal Processing, 1995,43(11):2776-2782.
[10]郭锋,胡江.干扰抑制的UWB脉冲设计与性能分析[J].电波科学学报,2009,24(2)：359-364.
[11]张洪欣,吕英华,贺鹏飞.一种基于脉冲压缩的UWB成形脉冲设计方法[J].北京邮电大学学报,2007,30(1)：132-135.
[12]周刘蕾,朱洪波,张乃通.基于认知无线电的超宽带系统中窄带干扰抑制技术[J].通信学报,2008,29(3)：135-140.
[13]张洪欣,张金玲.消除窄带干扰的UWB正交成形脉冲序列设计[J].吉首大学学报,2007,28(6)：65-69.
[14]洪利,马俊飞,刘玮,周正.窄带干扰抑制的一种新型频率编码正交UWB脉冲设计[J].通信技术,2007,40(11)：91-93.
[15]郑红伟,周正.超宽带技术在认知无线电中的应用研究[J].数据通信,2006(2)：11-13.
[16]Mishra,S.M.,Brodersen,R.W. Cognitive technology for improving ultra-wide band (UWB) coexistence[C]//2007 IEEE International Conference on Ultra-Wideband,ICUWB 2007,2007:253-258.
[17]阮成礼.超宽带天线理论与技术[M].哈尔滨：哈尔滨工业大学出版社,2006.
[18]邹卫霞,戴巍巍,赵立听,等.设计UWB脉冲的算法研究[J].电路与系统学报,2006,11(1)：95-97.
[19]王爱华,夏彩杰,安建平,等.改进的频域窄带干扰陷波器[J].北京理工大学学报,2007,27(12)：1098-1101.
[20]周刘蕾,汪一鸣,张乃通.超宽带通信系统窄带干扰变换域抑制方法[J].电波科学学报,2008,23(6)：1154-1158.
[21]陈健,阔永红,李建东等.通信信号自动识别方法[J].电路与系统学报,2005,10(5)：102-109.
[22]丁汉清,杨家玮,赵志远.认知无线电中自适应分步合并协作频谱感知算法[J].西安电子科技大学学报,2010,37(4)：665-670.
[23]仇洪冰,王玫,冒劫.采用能量检测的UWB应答式定位系统[J].西安电子科技大学学报,2008,35(2)：362-366.
[24]吴珊,吴利民,单财良.基于高斯脉冲的认知超宽带无线电波形设计[J].空军雷达学院学报,2009,23(4)：291-296.
[25]郭勇.基于高斯脉冲导数的正交UWB波形最优化设计[J].无线通信技术,2008(3)：1-4.
[26]严晓蓉,许宗泽.一种新的UWB脉冲成形方案[J].电气电子教学学报,2009,31(2)：54-56.
[27]Xiaoli Chu, Murch, R.D.. The effect of NBI on UWB time-hopping systems [J]. IEEE Transactions on Wireless Communications,2004,3(5):1431-1436.
[28]徐湛,安建平,杨凯.超宽带能量检测接收机的积分时间优化方法[J].北京理工大学学报,2009,29(12)：1100-1103.
[29]SHAMAN H. Ultra-wideband (UWB) bandpass filter with embedded band notch structures [J]. IEEE Microwave and Wireless Components Letters,2007, 17(3):193-195.
[30]Maria-Gabriella,Di Benedetto,Guerino Giancola著,葛利嘉,朱林,袁晓芳,等译.超宽带无线电基础[M].北京：电子工业出版社,2005.
[31]周先军,胡修林,张蕴玉,常春.一种TH-PPM UWB快速捕获方案[J].系统工程与电子技术,2007,29(3)：357-360.
[32]杨凯,安建平,卜祥元.传输参考超宽带信号功率谱密度分析[J].北京理工大学学报,2007,27(5)：441-445.
[33]何丽娅PAM-TH-UWB系统抗UMTS干扰性能分析[J].南京邮电大学学报,2007,27(6)：72-75.
[1]郭彩丽,冯春燕,曾志民.认知无线电网络技术及应用[M].北京：电子工业出版社,2010.
[2]J.Mitola. Cognitive radio for flexible mobile multimedia communications [C]// Sixth International Workshop on Mobile Multimedia Communicaitons, MoMuC 1999,1999:3-10.
[3]RW.B roderson, Wolisz, D.Cabric, S.M.Mishra, et al. CORVUS:a cognitive radio approach for usage of virtual unlicensed spectrum [EB/OL]. Available: http://bwrc.eecs.berkeley.edu/Reaearch/MCMA/CR White paper nall.pdf.
[4]Chowdhury, K.R., Akyldiz, I.F. OFDM-based common control channel design for cognitive radio Ad Hoc networks [J].IEEE Transactions on Mobile Computing,2011,10(2):228-238.
[5]Krenik, W., Batra, A. Cognitive radio techniques for wide area networks [C]// Design Automation Conference 2005, DAC 2005,2005:409-412.
[6]Nautilus Project Website [EB/OL].Available from http://www.cs.ucsb.edu/ htzheng/cognitive/nautilus.html.
[7]Buddhikot,M.M.,Kolodzy,P.,Miller,S.,et al. DIMSUMnet:new directions in wireless networking using coordinated dynamic spectrum[C]//World of Wireless Mobile and Multimedia Networks 2005,WoWMoM 2005,2005:78-85.
[8]The XG Vision.V2.0[EB/OL].http://www.ir.bbn.com/projects/xmac/vision. html.
[9]End-to-End Reconfiguration[EB/OL].http://e2r.motlabs.com/DE2 Res P5 D5.3 50727.
[10]IEEE 802 LAN/MAN Standards Committee 802.22 WG[EB/OL].http://www. ieee802.org/22/.
[11]冯志勇,张平,郎保真,等.认知无线网络理论与关键技术[M].北京：人民邮电出版社,2011.
[12]J.Mitola. Cognitive radio:an integrated agent architecture for software defined radio [D]. Royal Institute of Technology,2000.
[13]Bruce A.Fette,等著.赵知劲,郑仕链,尚俊娜,译.认知无线电技术[M].北京：科学出版社,2008.
[14]Tao Qin, Leung, C. A Cost Minimization Algorithm for a Multiuser OFDM Cognitive Radio System[C]//IEEE Pacific Rim Conference on Communication, Computers and Signal Processing,2007:518-521.
[15]邱晶,冯文江,邹卫改.多小区OFDMA系统中的分布式资源分配策略研究[J]北京邮电大学报,2008,35(2)：340-344.
[16]喻的雄,蔡跃明,吴丹,等OFDMA上行链路中基于博弈论的子载波和功率分配算法[J]电子与信息学报,2010,32(4)：775-780.
[17]German E.H. Transform domain signal processing study final report [Z].1988.
[18]C.Sung, W.Wong. A noncooperative power control game for multirate CDMA data networks[J].IEEE Transactions on Wireless Communications,2003,2 (1):186-190.
[19]D.Krishnaswamy. Game theoretic formulations for network-assisted resource management in wireless networks[C]//IEEE Vehicular Technology Conference Fall 2002,VTC Fall 2002,2002:1312-1316.
[20]M.Hayajneh, C.Abdallah. Distributed joint rate and power control game-theoretic algorithms for wireless data[J].IEEE Communications Letters,2004, 8(8):511-513.
[21]S.Ginde, R.M.Buehrer, J.Neel. A game theoretic analysis of the joint link adaptation and distribution power control in GPRS[C]//IEEE Vehicular Technology Conference Fall 2003,Fall VTC 2003,2003:732-736.
[22]Wei Wang,Xin Liu.List-coloring based channel allocation for open-spectrum wireless networks[C]//IEEE Vehicular Technology Conference Fall 2005,VTC Fall 2005,2005:690-694.
[23]Haitao Zheng,Chunyi Peng.Collaboration and fairness in opportunistic spectrum access[C]//2005 IEEE International Conference on Communications, ICC 2005,2005:3132-3136.
[24]Lili Cao,Haitao Zheng.Distributed spectrum allocation via local bargaining[C] //2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks,IEEE SECON 2005,2005:475-486.
[25]廖楚林,陈劫,唐友喜,等.认知无线电中的并行频谱分配算法[J].电子与信息学报,2007,29(7)：1608-1611.
[26]Zhao Q.,Tong L.,Swami A.,et al.Decentralized cognitive MAC for opportunis-tic spectrum access in ad hoc networks:A POMDP framework[J].IEEE Journal on Selected Areas in Communications,2007,25 (3):589-600.
[27]Zhao Q.,Tong L.,Swami A.Decentralized cognitive MAC for dynamic spectrum access[C]//2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks,IEEE DySPAN 2005,2005: 224-232.
[28]Yunxia Chen,Qing Zhao,Swami A.Distributed cognitive MAC for energy-constrained opportunistic spectrum access[C]//2006 Military Communications Conferece,MILCOM 2006,2006:1-7.
[29]Zhao Q.,Tong L.,Swami A.,et al. Cross-layer design of opportunistic spectrum access in the presence of sensing error[C]//2006 40th Annual Conference on Information Sciences and Systems,CISS 2006,2006:778-782.
[30]江沸菠.UWB技术及其在Ad Hoc网络中的应用研究[D].湖南：湖南师范大学,2007.
[31]Glisic Savo G. Advanced wireless communications:4G cognitive and coopera-tive broadband technologies[M].Wiley,2007.
[32]Fangmin Xu, Luyong Zhang, Zheng Zhou,et al. Adaptive power control for cooperative UWB network using potential game theory[C]//2007 IEEE Wireless Communications and Networking Conference,WCNC 2007,2007: 1620-1624.
[33]Novakovic D M,Dukic M L. Evolution of the power control techniques for DS-CDMA toward 3G wireless communication systems [J].IEEE Communications Surveys,2000,3(4):2-5.