Adaptive Iterative Soft-Input Soft-Output Parallel Decision-Feedback Detectors for Asynchronous Coded DS-CDMA Systems | Zendy

Wei Zhang | Zendy; Claude D’Amours | Zendy; Abbas Yongaçoğlu | Zendy

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Adaptive Iterative Soft-Input Soft-Output Parallel Decision-Feedback Detectors for Asynchronous Coded DS-CDMA Systems

Author(s) -

Wei Zhang,

Claude D’Amours,

Abbas Yongaçoğlu

Publication year - 2005

Publication title -

eurasip journal on wireless communications and networking

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.461

H-Index - 64

eISSN - 1687-1499

pISSN - 1687-1472

DOI - 10.1155/wcn.2005.155

Subject(s) - computer science , detector , multiuser detection , asynchronous communication , algorithm , a priori and a posteriori , feed forward , code division multiple access , matched filter , adaptive filter , recursive least squares filter , single antenna interference cancellation , control theory (sociology) , telecommunications , artificial intelligence , philosophy , control (management) , epistemology , control engineering , engineering

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.

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