A multistep linear prediction approach to blind asynchronous CDMA channel estimation and equalization

A multistep linear prediction approach is presented for blind channel estimation, multiuser interference (MUI) suppression, and detection of asynchronous short-code direct sequence code division multiple access signals in multipath channels. Only the spreading code of the desired user is assumed to be known; its transmission delay may be unknown. We exploit the previously proposed multistep linear prediction approach for blind multiple-input multiple-output channel estimation in conjunction with the structure imposed by the desired user's spreading code sequence. With the knowledge of the desired user's code sequence, only the second-order statistics of the data are needed under certain sufficient conditions on the underlying multiuser MIMO transfer function. Based on the desired user's channel estimate, a linear minimum mean square error filter is designed for simultaneous equalization and MUI suppression. Three illustrative simulation examples are presented.

[1]  Upamanyu Madhow.  Blind adaptive interference suppression for direct-sequence CDMA , 1998 .

[2]  Stuart C. Schwartz,et al.  Adaptive feedforward/feedback architectures for multiuser detection in high data rate wireless CDMA networks , 2000, IEEE Trans. Commun..

[3]  John G. Proakis,et al.  Digital Communications , 1983 .

[4]  Jitendra Tugnait.  On linear predictors for MIMO channels and related blind identification and equalization , 1998, IEEE Signal Processing Letters.

[5]  Petre Stoica,et al.  Blind multiuser MMSE detector for CDMA signals in ISI channels , 1999, IEEE Communications Letters.

[6]  M.K. Tsatsanis,et al.  Performance analysis of minimum variance CDMA receivers , 1998, IEEE Trans. Signal Process..

[7]  Murat Torlak,et al.  Blind multiuser channel estimation in asynchronous CDMA systems , 1997, IEEE Trans. Signal Process..

[8]  Philip Schniter,et al.  On the robustness of blind linear receivers for short-code CDMA , 1999, 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304).

[9]  Yu Song,et al.  Subspace blind detection of asynchronous CDMA signals in multipath channels , 1999, 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304).

[10]  Vijay K. Bhargava,et al.  Recent advances in cellular wireless communications , 1999, IEEE Commun. Mag..

[11]  Behnaam Aazhang,et al.  Subspace-based channel estimation for code division multiple access communication systems , 1996, IEEE Trans. Commun..

[12]  H. Vincent Poor,et al.  Blind equalization and multiuser detection in dispersive CDMA channels , 1998, IEEE Trans. Commun..

[13]  Philippe Loubaton,et al.  Application of blind second order statistics MIMO identification methods to the blind CDMA forward link channel estimation , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[14]  Upamanyu Madhow,et al.  Blind adaptive multiuser detection , 1995, IEEE Trans. Inf. Theory.

[15]  S. Moshavi,et al.  Multi-user detection for DS-CDMA communications , 1996, IEEE Commun. Mag..

[16]  Michail K. Tsatsanis.  Inverse filtering criteria for CDMA systems , 1997, IEEE Trans. Signal Process..

[17]  Jitendra K. Tugnait,et al.  Multistep linear predictors-based blind identification and equalization of multiple-input multiple-output channels , 2000, IEEE Trans. Signal Process..

[18]  Jitendra K. Tugnait,et al.  Multi-step linear predictors-based blind equalization of multiple-input multiple-output channels , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).