用于色散CDMA系统盲信号检测和盲信道估计的子空间新方法的研究
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摘要
子空间的高分辨率的方法在盲多用户检测，传感器阵列信号处理，谱
分析和普通的参数估计中扮演一个重要的角色。随着码分多址系统的码速
率的提高，符号间干扰将和多址干扰一起成为高速码分多址系统的固有问
题，成为影响整个系统性能的主要妨碍。
本文首先针对短ISI的情况，提出了用改进的子空间算法对签名波形
进行盲估计，这其中包括一个信号子空间的方法和一个噪声子空间的方
法。并重点讨论了用户的扩频码之间的正交性对多径信道估计的影响。其
次针对有色噪声的码分多址色散信道，提出了一种使用短训练序列的波形
估计的子空间算法。最后，我们在考虑长符号间干扰的信道情况下，把色
散码分多址系统归入一个多输入多输出系统的框架，通过应用盲多输入多
输出理论，提出了使用期望用户的签名波形的子空间信号检测算法。可以
看到通过上面提出的算法可以实现各种情况下的码分多址系统的盲检测。
Subspace梑ased high梤esolution methods play an important role
in sensor array processing, spectrum analysis, and general
parameter estimation. With the improve of chip梥peed in high?
rate CDMA system, the 151 together MAT become the inherent
problem and constituted the major impediment to the overall
system performance.
In this paper, firstly, to the case of short 151, It is
discussed that modified algorithms are used to estimate the
response of channel or signature blindly, which includes a
signal subspace method or a noise subspace method, the
affection of the nonorthogonality of signature in the
estimation of response of multi梡ath channel. Secondly ,an
algorithm of subspace training method to signature waveform
estimation in multipath CDMA channel with colored noise is
proposed. Finally, to do with the case of long JSI ,we cast the
dispersive CDMA channel into a MJMO signal model framework. By
applying the theory of blind MIMO channel identification and
the desired user抯 signature waveform, we propose a subspace?
based method of estimation of response of channel or signal
detection. It is seen that we can perform signal detection
blindly at any case of CDMA system.
分析和普通的参数估计中扮演一个重要的角色。随着码分多址系统的码速
率的提高，符号间干扰将和多址干扰一起成为高速码分多址系统的固有问
题，成为影响整个系统性能的主要妨碍。
本文首先针对短ISI的情况，提出了用改进的子空间算法对签名波形
进行盲估计，这其中包括一个信号子空间的方法和一个噪声子空间的方
法。并重点讨论了用户的扩频码之间的正交性对多径信道估计的影响。其
次针对有色噪声的码分多址色散信道，提出了一种使用短训练序列的波形
估计的子空间算法。最后，我们在考虑长符号间干扰的信道情况下，把色
散码分多址系统归入一个多输入多输出系统的框架，通过应用盲多输入多
输出理论，提出了使用期望用户的签名波形的子空间信号检测算法。可以
看到通过上面提出的算法可以实现各种情况下的码分多址系统的盲检测。
Subspace梑ased high梤esolution methods play an important role
in sensor array processing, spectrum analysis, and general
parameter estimation. With the improve of chip梥peed in high?
rate CDMA system, the 151 together MAT become the inherent
problem and constituted the major impediment to the overall
system performance.
In this paper, firstly, to the case of short 151, It is
discussed that modified algorithms are used to estimate the
response of channel or signature blindly, which includes a
signal subspace method or a noise subspace method, the
affection of the nonorthogonality of signature in the
estimation of response of multi梡ath channel. Secondly ,an
algorithm of subspace training method to signature waveform
estimation in multipath CDMA channel with colored noise is
proposed. Finally, to do with the case of long JSI ,we cast the
dispersive CDMA channel into a MJMO signal model framework. By
applying the theory of blind MIMO channel identification and
the desired user抯 signature waveform, we propose a subspace?
based method of estimation of response of channel or signal
detection. It is seen that we can perform signal detection
blindly at any case of CDMA system.
引文
[1] xiaodong wang and H．vincent，“Blind multiuser detection：a subspace approach”． IEEE trans on commu vol44 no．2 march 1998 p677-p688
[2] M．Peng，Y．J．Guo，S．K．Barton“One-shot linear decorrelating detector for asynchronous CDMA”
[3] liu．h，and Xu．G：“A subspace method for signature waveform estimation in synchronous CDMA systems”，IEEE Trans．1996，com-44，PP．1346-1354
[4] yanrong zhang，guoan bi and Boon Poh Ng“Subspace training method for signature waveform estimation in multipath CDMA channel with coloured noise” ELECTRONICS LETTERS May 11~(th) 2000
[5] B．Suard，G．Xu．Liu，and T．Kailath,"Channel capacity of spatial division multiple access schemes,"in Proc．28~(th) Asilomar Conf．Signals Syst．Comput．，Pacific Grove，CA，Nov．1994，PP．1159-1163
[6] G．H．Golub and V．Pereyra,"The differentiation of psudo-inverse and nonlinear least squares problems whose variables separate,"SIAM J．Numer．anal，vol．10，PP．413-432，1973
[7] “On blind MIMO channel identification using second-order statistics,"in Proc．1996 Conf．Information Scienecs and Systems，Princeton，NJ，Mar．1996，PP．1166-1171
[8] 张贤达， 《现代信号处理》，清华大学出版社，1996
[9] J G．Prakis“Digital communication”
[10] UPAMANYU MADHOW“Blind adaptive Interference Suppression for Direct-sequence CDMA．”Proceedings of the IEEE vol 86 NO．10 Oct 1998 p2049-2068
[11] Stephen E．Bensley and Behnaam Aazhang，“Subspace-based Channel Estimation for Code Division Multiple access Communication Systems”，IEEE Transactions on commu Vol．44 NO．8 Aug 1996． p1009-1020
[12] Shimon Moshavi，Bellcore，“Multi-user detection for DS-CDMA Communications”IEEE Communications Magazine Oct 1996，p124-136
[13] 张贤达， “信号处理中的线性代数”科学出版社 1997
[14] 孙立新，邢宁霞， “CDMA(码分多址)移动通信技术” 人民邮电出版 社1996
[15] 刘冰， “CDMA蜂窝移动通信技术” 西安电子科技大学硕士论文．
[16] 李云初“CDMA自适应多用户检测接收机的研究” 中国科技大学 硕士论文
[17] GRAEME WOODWARD，BRANKAS．VUCETIC，“Adaptive Detection for DS-CDMA”．PROCEEDINGS OF THE IEEE VOL 86 NO．7 JULY 1998 p1413-1433
[18l Eric Moulines，Pierre Duhamel“Subspace Methods for the Blind Identification of Multichannel FIR Filters”IEEE trans on sp vol 43 NO．2 Feb 1995 p516-525．
[19] Adel Belouchrani“A Blind Source Separation Technique Using Second-order Statistics”IEEE trans on sp vol 45,No．2 feb 1997 p434-p443
[20] Verdu,"Minimum Probability of Error for Asynchronous Gaussian Multiple-Access Channels”IEEE trans on info theory vol it-32 Nol Jan 1986 p85-p96
[21] Ye li，“Adaptive Blind Source Separation and Equalization for Multiple-input／Multiple-Output Systems”IEEE trans on info theory vol．44 NO．7 Nov 1998 p2865-2876
[22] A．Chevreuil and Ph．Loubaton“MIMO Blind Second-order Equalization Method and Conjugate Cyclostationarity”，IEEE trans on sp vol47 No．2 Feb 1999 p572-p578
[23] Xiao dong Wang and H．Vincent Poor“Blind Equalization and Multiuser Detection in Dispersive CDMA Channels” IEEE trans on commu vol46 Nol Jan 1998 p91-103
[24] Daniel Yellin，Ehud Weinstein，“Criteria for Multichannel Signal Separation”，IEEE Trans．On Signal Processing，Vol.42 No．8， August 1994，P2158-2168
[25] Murat Torlak,“Blind Multiuser Channel Estimation in Asynchronous CDMA Systems” IEEE trans on sp vol45 NO Jan 1997
[26] Alle-Jan Van der Veen and Arogyaswami Paulraj“A Subspace Approach to Blind Sqace-Time Signal Processing for Wireless Communication Systems”IEEE trans on sp vol．45 No．1 Jan 1997
[27] 杨然，许晓明，张卫东，“LMS算法的二次稳定性及鲁棒LMS算 法” 电子学报Vol．29 No．1 Jan 2001-5-21
[28] 周建，乐光新， “一种基于子空间的多径CDMA信道的估计方 法。北京邮电大学学报”vol．23 No．2 june 2000
[29] 郑晖，叶梧，“CDMA系统动态子空间跟踪算法”桂林电子工业学院 学报，Vol．20 No．2 June 2000
[30] A．J．维特比，“CDMA扩频通信系统原理”，人民邮电出版社。
[31] Tero Ojanpera，Ramjee prasad“宽带CDMA第三代移动通信技术” 人民邮电出版社
[32] C．F．N．科恩“自适应滤波器“复旦大学出版社
[2] M．Peng，Y．J．Guo，S．K．Barton“One-shot linear decorrelating detector for asynchronous CDMA”
[3] liu．h，and Xu．G：“A subspace method for signature waveform estimation in synchronous CDMA systems”，IEEE Trans．1996，com-44，PP．1346-1354
[4] yanrong zhang，guoan bi and Boon Poh Ng“Subspace training method for signature waveform estimation in multipath CDMA channel with coloured noise” ELECTRONICS LETTERS May 11~(th) 2000
[5] B．Suard，G．Xu．Liu，and T．Kailath,"Channel capacity of spatial division multiple access schemes,"in Proc．28~(th) Asilomar Conf．Signals Syst．Comput．，Pacific Grove，CA，Nov．1994，PP．1159-1163
[6] G．H．Golub and V．Pereyra,"The differentiation of psudo-inverse and nonlinear least squares problems whose variables separate,"SIAM J．Numer．anal，vol．10，PP．413-432，1973
[7] “On blind MIMO channel identification using second-order statistics,"in Proc．1996 Conf．Information Scienecs and Systems，Princeton，NJ，Mar．1996，PP．1166-1171
[8] 张贤达， 《现代信号处理》，清华大学出版社，1996
[9] J G．Prakis“Digital communication”
[10] UPAMANYU MADHOW“Blind adaptive Interference Suppression for Direct-sequence CDMA．”Proceedings of the IEEE vol 86 NO．10 Oct 1998 p2049-2068
[11] Stephen E．Bensley and Behnaam Aazhang，“Subspace-based Channel Estimation for Code Division Multiple access Communication Systems”，IEEE Transactions on commu Vol．44 NO．8 Aug 1996． p1009-1020
[12] Shimon Moshavi，Bellcore，“Multi-user detection for DS-CDMA Communications”IEEE Communications Magazine Oct 1996，p124-136
[13] 张贤达， “信号处理中的线性代数”科学出版社 1997
[14] 孙立新，邢宁霞， “CDMA(码分多址)移动通信技术” 人民邮电出版 社1996
[15] 刘冰， “CDMA蜂窝移动通信技术” 西安电子科技大学硕士论文．
[16] 李云初“CDMA自适应多用户检测接收机的研究” 中国科技大学 硕士论文
[17] GRAEME WOODWARD，BRANKAS．VUCETIC，“Adaptive Detection for DS-CDMA”．PROCEEDINGS OF THE IEEE VOL 86 NO．7 JULY 1998 p1413-1433
[18l Eric Moulines，Pierre Duhamel“Subspace Methods for the Blind Identification of Multichannel FIR Filters”IEEE trans on sp vol 43 NO．2 Feb 1995 p516-525．
[19] Adel Belouchrani“A Blind Source Separation Technique Using Second-order Statistics”IEEE trans on sp vol 45,No．2 feb 1997 p434-p443
[20] Verdu,"Minimum Probability of Error for Asynchronous Gaussian Multiple-Access Channels”IEEE trans on info theory vol it-32 Nol Jan 1986 p85-p96
[21] Ye li，“Adaptive Blind Source Separation and Equalization for Multiple-input／Multiple-Output Systems”IEEE trans on info theory vol．44 NO．7 Nov 1998 p2865-2876
[22] A．Chevreuil and Ph．Loubaton“MIMO Blind Second-order Equalization Method and Conjugate Cyclostationarity”，IEEE trans on sp vol47 No．2 Feb 1999 p572-p578
[23] Xiao dong Wang and H．Vincent Poor“Blind Equalization and Multiuser Detection in Dispersive CDMA Channels” IEEE trans on commu vol46 Nol Jan 1998 p91-103
[24] Daniel Yellin，Ehud Weinstein，“Criteria for Multichannel Signal Separation”，IEEE Trans．On Signal Processing，Vol.42 No．8， August 1994，P2158-2168
[25] Murat Torlak,“Blind Multiuser Channel Estimation in Asynchronous CDMA Systems” IEEE trans on sp vol45 NO Jan 1997
[26] Alle-Jan Van der Veen and Arogyaswami Paulraj“A Subspace Approach to Blind Sqace-Time Signal Processing for Wireless Communication Systems”IEEE trans on sp vol．45 No．1 Jan 1997
[27] 杨然，许晓明，张卫东，“LMS算法的二次稳定性及鲁棒LMS算 法” 电子学报Vol．29 No．1 Jan 2001-5-21
[28] 周建，乐光新， “一种基于子空间的多径CDMA信道的估计方 法。北京邮电大学学报”vol．23 No．2 june 2000
[29] 郑晖，叶梧，“CDMA系统动态子空间跟踪算法”桂林电子工业学院 学报，Vol．20 No．2 June 2000
[30] A．J．维特比，“CDMA扩频通信系统原理”，人民邮电出版社。
[31] Tero Ojanpera，Ramjee prasad“宽带CDMA第三代移动通信技术” 人民邮电出版社
[32] C．F．N．科恩“自适应滤波器“复旦大学出版社