Stochastic Least-Symbol-Error-Rate Adaptive Equalization for Pulse-Amplitude Modulation

Chen, S., Mulgrew, B. and Hanzo, L. (2002) Stochastic Least-Symbol-Error-Rate Adaptive Equalization for Pulse-Amplitude Modulation. of ICASSP'02, Orlando, Florida, United States. 13 - 17 May 2002. pp. 2629-2632 .

Record type: Conference or Workshop Item (Paper)

Abstract

The paper derives a stochastic-gradient minimum symbol-error-rate (MSER) algorithm, called the least symbol error rate (LSER), for training the linear equalizer and linear-combiner decision feedback equalizer (DFE) with $M$-PAM signalling. This LSER algorithm has some performance advantages, in terms of faster convergence rate and smaller steady-state symbol error rate (SER) misadjustment, over an existing simpler stochastic-gradient adaptive MSER algorithm called the approximate MSER (AMSER).

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More information

Published date: May 2002

Additional Information: Presented at IEEE Int. Conf. Acoustics, Speech, and Signal Processing (Oriando, Florida, USA), May 13-17, 2002. Support of U.K. Royal Academy of Engineering under an international travel grant (IJB/AH/ITG 02-011) is gratefully acknowledged. Event Dates: 13-17 May 2002 Organisation: IEEE Signal Processing Society

Venue - Dates: of ICASSP'02, Orlando, Florida, United States, 2002-05-13 - 2002-05-17

Organisations: Southampton Wireless Group

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