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Adaptive Minimum-BER Linear Multiuser Detection

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

Record type: Conference or Workshop Item (Paper)


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, United States, 2001-05-07 - 2001-05-11
Organisations: Southampton Wireless Group


Local EPrints ID: 254033
PURE UUID: 493bbe4a-e12e-4735-af15-bc1f674b3b34

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Date deposited: 17 Dec 2003
Last modified: 18 Jul 2017 09:55

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Author: S. Chen
Author: A.K. Samingan
Author: B. Mulgrew
Author: L. Hanzo

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