基于ICA的空时分组码盲检测算法研究
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摘要
提出了一种基于ICA技术的STBC盲信号检测方案,建立了适用于ICA的特定STBC系统模型,分析比较了几种典型的ICA算法的分离性能及收敛速度.理论分析表明,ICA盲接收技术的应用可以在一定程度上替代基于信道估计的传统方法,增强系统对信道估计错误的稳健性.结合具体的STBC系统,仿真比较了基于ICA算法的不同方案的分离性能,对其中表现较差的等变化自适应分离(EASI)算法作出改进,并仿真验证了改进方案的正确性.
This paper analyses the essential structure of STBC system and establishes a specific model suitable to ICA.Several traditional ICA algorithms are adopted to make a comparison.The robustness against channel estimation errors can be acquired by using the ICA based schemes.Simulation results demonstrate the validity of proposed approaches,and after the comparison among different ICA based detection schemes,the improvement of EASI algorithm is proposed to achieve better performance.
This paper analyses the essential structure of STBC system and establishes a specific model suitable to ICA.Several traditional ICA algorithms are adopted to make a comparison.The robustness against channel estimation errors can be acquired by using the ICA based schemes.Simulation results demonstrate the validity of proposed approaches,and after the comparison among different ICA based detection schemes,the improvement of EASI algorithm is proposed to achieve better performance.
引文
[1]王丹华.基于空时分组码的忙检测方法研究[D].哈尔滨:哈尔滨工业大学,2008.
[2]Hyvarinen A.Fast and Robust Fixed-point Algorithms for Independent Component Analysis[J].IEEE Trans Neural Netw,1999,10(3):626-634.
[3]Cardoso J F,Souloumiac A.Blind Beamforming for Non Gaussian Signals[J].IEE Proceedings-F,1993,140(6):362-370.
[4]Cardoso J F,Laheld B H.Equivariant Adaptive Source Separation[J].IEEE Trans Signal Processing,1996,44:3017-3030.
[5]Tarokh V,Jafarkhani H,Calderbank A R.Space-time Block Codes from Orthog-onal Designs[J].IEEE Trans Inform Theo-ry,1999,45(5):1456-1467.
[6]Branka Vucetic,Jinhong Yuan.空时编码技术[M].王晓海,黄开枝,译.第1版.北京:机械工业出版社,2004:77-98.
[7]Cardoso J F.On the Stability of Source Separation Algorithms[J].Journal of Vlsi Signal Processing Systems for Signal Imageand Video Technology,2000,26(1-2):7-14.
[8]Hyvrinen A,Hoyer P O.Emergence of Topography and Complex Cell Properties form Naturalimages Using Extensions ofICA.Advances in Neural Information Processing Systems,2000,12(99):827-833.
[9]张银雪,田学民.步长自适应ICA在地震信号去噪中的应用[J].计算机工程与应用,2011(31):215-219.
[10]陈艳.改进的独立分量分析在语音分离中的应用[J].电子科技,2009(12):87-91.
[2]Hyvarinen A.Fast and Robust Fixed-point Algorithms for Independent Component Analysis[J].IEEE Trans Neural Netw,1999,10(3):626-634.
[3]Cardoso J F,Souloumiac A.Blind Beamforming for Non Gaussian Signals[J].IEE Proceedings-F,1993,140(6):362-370.
[4]Cardoso J F,Laheld B H.Equivariant Adaptive Source Separation[J].IEEE Trans Signal Processing,1996,44:3017-3030.
[5]Tarokh V,Jafarkhani H,Calderbank A R.Space-time Block Codes from Orthog-onal Designs[J].IEEE Trans Inform Theo-ry,1999,45(5):1456-1467.
[6]Branka Vucetic,Jinhong Yuan.空时编码技术[M].王晓海,黄开枝,译.第1版.北京:机械工业出版社,2004:77-98.
[7]Cardoso J F.On the Stability of Source Separation Algorithms[J].Journal of Vlsi Signal Processing Systems for Signal Imageand Video Technology,2000,26(1-2):7-14.
[8]Hyvrinen A,Hoyer P O.Emergence of Topography and Complex Cell Properties form Naturalimages Using Extensions ofICA.Advances in Neural Information Processing Systems,2000,12(99):827-833.
[9]张银雪,田学民.步长自适应ICA在地震信号去噪中的应用[J].计算机工程与应用,2011(31):215-219.
[10]陈艳.改进的独立分量分析在语音分离中的应用[J].电子科技,2009(12):87-91.
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