Adaptive Minimum-BER Linear Multiuser Detection

Chen, S., Samingan, A.K., Mulgrew, B. and Hanzo, L. (2001) Adaptive Minimum-BER Linear Multiuser Detection. ICASSP'01, Salt Lake City, Utah, United States. 07 - 11 May 2001. pp. 2253-2256 .

Record type: Conference or Workshop Item (Paper)

Abstract

An adaptive minimum bit error rate (MBER) linear multiuser detector (MUD) is proposed for DS-CDMA systems. Based on the approach of kernel density estimation for approximating the bit error rate (BER) from training data, a least mean squares (LMS) style adaptive algorithm is developed for training linear MUDs. Computer simulation results show that this adaptive MBER linear MUD outperforms two existing LMS-style adaptive MBER algorithms.

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Published date: May 2001

Additional Information: Presented at IEEE International Conference on Acoustics, speech, and Signal Processing (Salt Lake City, Utah, USA), May 7-11, 2001. Support of U.K. Royal Academy of Engineering under an international travel grant (IJB/AH/ITG 01-019) is gratefully acknowledged. Event Dates: 7-11 May 2001 Organisation: IEEE Signal Processing Society

Venue - Dates: ICASSP'01, Salt Lake City, Utah, United States, 2001-05-07 - 2001-05-11

Organisations: Southampton Wireless Group

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