Adaptive iterative soft-input soft-output parallel decision-feedback detectors for asynchronous coded DS-CDMA systems

Authors:
Wei Zhang;Claude D'Amours;Abbas Yongaçoǧlu
Affiliations:
School of Information Technology and Engineering (SITE), University of Ottawa, 800 King Edward Avenue, Ottawa, ON, Canada K1N 6N5;School of Information Technology and Engineering (SITE), University of Ottawa, 800 King Edward Avenue, Ottawa, ON, Canada K1N 6N5;School of Information Technology and Engineering (SITE), University of Ottawa, 800 King Edward Avenue, Ottawa, Ontario, Canada K1N 6N5
Venue:
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Year:
2005

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Abstract

The optimum and many suboptimum iterative soft-input soft-output (SISO) multiuser detectors require a priori information about the multiuser system, such as the users' transmitted signature waveforms, relative delays, as well as the channel impulse response. In this paper, we employ adaptive algorithms in the SISO multiuser detector in order to avoid the need for this a priori information. First, we derive the optimum SISO parallel decision-feedback detector for asynchronous coded DS-CDMA systems. Then, we propose two adaptive versions of this SISO detector, which are based on the normalized least mean square (NLMS) and recursive least squares (RLS) algorithms. Our SISO adaptive detectors effectively exploit the a priori information of coded symbols, whose soft inputs are obtained from a bank of single-user decoders. Furthermore, we consider how to select practical finite feedforward and feedback filter lengths to obtain a good tradeoff between the performance and computational complexity of the receiver.