Efficient multiuser detectors for intersymbol interference channels

A general framework is developed for addressing problems of multiuser detection in wireless communication systems operating in the presence of time- and/or frequency-selective fading due to multipath propagation. In particular, a state-space description of the canonical multiple-access system as a multiple-input multiple-output linear system is used to obtain minimum mean-square error multiuser equalizers having efficient recursive implementations in the form of Kalman filters. These algorithms effectively suppress both intersymbol and interuser (multiple-access) interference, yielding near-far resistant receivers that can reduce power control requirements. More generally, the equalizers make efficient use of all available temporal, spectral, and spatial diversity in the system, and can be used in conjunction with both conventional CDMA and more recently proposed spread-signature CDMA systems. Decision-feedback implementations of the equalizers are also described.

[1]  Sergio Verdú,et al.  Linear multiuser detectors for synchronous code-division multiple-access channels , 1989, IEEE Trans. Inf. Theory.

[2]  Sergio Verdú,et al.  Minimum probability of error for asynchronous Gaussian multiple-access channels , 1986, IEEE Trans. Inf. Theory.

[3]  Gregory W. Wornell Spread-response precoding for communication over fading channels , 1996, IEEE Trans. Inf. Theory.

[4]  Gregory W. Wornell Spread-signature CDMA: efficient multiuser communication in the presence of fading , 1995, IEEE Trans. Inf. Theory.

[5]  Gregory W. Wornell,et al.  Efficient signal processing techniques for exploiting transmit antenna diversity on fading channels , 1997, IEEE Trans. Signal Process..

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

[7]  Upamanyu Madhow,et al.  MMSE interference suppression for direct-sequence spread-spectrum CDMA , 1994, IEEE Trans. Commun..

[8]  Sergio Verdú,et al.  Near-far resistance of multiuser detectors in asynchronous channels , 1990, IEEE Trans. Commun..

[9]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[10]  B. Anderson,et al.  Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[11]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[12]  Alexandra Duel-Hallen,et al.  Equalizers for Multiple Input/Multiple Output Channels and PAM Systems with Cyclostationary Input Sequences , 1992, IEEE J. Sel. Areas Commun..