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Adaptive minimum-BER linear multiuser detection for DS-CDMA signals in multipath channels

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4 Author(s)
Sheng Chen ; Dept. of Electron. & Comput. Sci., Southampton Univ., UK ; A. K. Samingan ; B. Mulgrew ; L. Hanzo

The problem of constructing adaptive minimum bit error rate (MBER) linear multiuser detectors is considered for direct-sequence code division multiple access (DS-CDMA) signals transmitted through multipath channels. Based on the approach of kernel density estimation for approximating the bit error rate (BER) from training data, a least mean squares (LMS) style stochastic gradient adaptive algorithm is developed for training linear multiuser detectors. Computer simulation is used to study the convergence speed and steady-state BER misadjustment of this adaptive MBER linear multiuser detector, and the results show that it outperforms an existing LMS-style adaptive MBER algorithm presented by Yeh et al. (see Proc. Globecom, Sydney, Australia, p.3590-95, 1998)

Published in:

IEEE Transactions on Signal Processing  (Volume:49 ,  Issue: 6 )