Adaptive minimum symbol-error rate equalization for quadrature-amplitude modulation

Authors:
Chen-Chu Yeh;J.R. Barry
Affiliations:
Intersil Corp., Palm Bay, FL, USA;-
Venue:
IEEE Transactions on Signal Processing
Year:
2003

Citing 0
Cited 7

A stochastic unbiased minimum mean error rate algorithm for decision feedback equalizers

SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
A Novel Adaptive Detection Scheme based on Parallel Interference Cancellation for V-BLAST System

Wireless Personal Communications: An International Journal
Adaptive minimum error-rate filtering design: A review

Signal Processing
Minimum symbol error rate carrier phase recovery of QPSK

IEEE Transactions on Signal Processing
Minimum bayes risk adaptive linear equalizers

IEEE Transactions on Signal Processing
Theories, analysis, and bounds of the finite-support approximation for the inverses of mixing-phase FIR systems

IEEE Transactions on Circuits and Systems Part I: Regular Papers
Least-symbol-error-rate adaptive decision feedback equalization for underwater channel

Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems

Quantified Score

Hi-index	35.69

Visualization

Abstract

We propose the adaptive minimum symbol-error rate algorithm, which is a low-complexity technique for adapting the coefficients of a linear equalizer in systems using pulse-amplitude or quadrature-amplitude modulation. The proposed algorithm very nearly minimizes error probability in white Gaussian noise and can significantly outperform the minimum-mean-squared error equalizer (by as much as 16 dB) when the number of equalizer coefficients is small relative to the severity of the intersymbol interference.