Abstract
We introduce a multiuser detection algorithm for Direct Sequence Code Division Multiple Access (DS-CDMA) systems that implements a fast relative newton algorithm in a quasi-maximum likelihood (quasi-ML) estimation framework. The symbol signals are estimated based on this quasi-ML criteria at reduced Bit-Error-Rate (BER) and reduced computational load. Specifically, we construct multiuser detectors based on this new algorithm as well as the leading RobustICA and FastICA algorithms. Then, we demonstrate the significant improvements in Bit error rate (BER) and computational speed achieved by this new algorithm in comparative simulation studies.
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