An Adaptive Multiuser Detection Algorithm for CDMA Systems Using Antenna Diversity

Abstract

Based on the minimum mean squared error (MMSE) between the data stream and the linear combiner output, a new multiuser detection (MUD) algorithm that combines space-time (ST) processing and antenna array on direct-sequence CDMA signals is proposed. The proposed ST-MUD algorithm is proved to be equivalent to two existing MMSE-based ST-MUD algorithms, and the theoretical BER performances for all the three algorithms are the same. The most attractive feature of the new ST-MUD algorithm is based on the fact that the new method does not require explicit estimation of channel and signaling information. This avoids any channel estimation error, and the method is thus more robust and more accurate than the other two ST-MUD algorithms in practical implementation. Adaptation of the proposed ST-MUD algorithm is implemented by using training sequences. Performance of this new multiuser detector is compared with that of two existing MMSE multiuser detectors and the conventional single-user space-time rake receiver through simulations. The proposed ST-MUD algorithm provides a performance better than existing algorithms and is especially suitable for practical CDMA systems.

Blind multi-user detection based on inerference subspace

“…MUD provides substantial performance gains, improves the system capacity, and makes full use of the limited wireless spectrum resources. The popular subspace based technique was formulated by Wang and Poor, et al [1][2][3][4] . However, these detectors based on signal subspace tracking suffer from signal eigenvalue estimation error that will considerably reduce their performance.…”