Normalized Adaptive Channel Equalizer Based on Minimal Symbol-Error-Rate

Existing minimum-symbol-error-rate equalizers were derived based on the symbol-error-rate objective function. Due to the complexity of the objective function the derivation is not straightforward. In this paper we present a new approach to derive the minimum-symbol-error-rate adaptive equalizers. Th...

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Bibliographic Details
Published in:IEEE transactions on communications 2013-04, Vol.61 (4), p.1374-1383
Main Authors: Meiyan Gong, Fangjiong Chen, Hua Yu, Zhaohua Lu, Liujun Hu
Format: Article
Language:English
Subjects:
Adaptive channel equalizer
Adaptive equalizers
Applied sciences
Binary phase shift keying
Bit error rate
constrained optimization
Convergence
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Linear programming
Minimum Symbol-Error-Rate
Optimization
Signal and communications theory
Signal, noise
Telecommunications and information theory
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Summary:Existing minimum-symbol-error-rate equalizers were derived based on the symbol-error-rate objective function. Due to the complexity of the objective function the derivation is not straightforward. In this paper we present a new approach to derive the minimum-symbol-error-rate adaptive equalizers. The problem is formulated as minimizing the norm between two subsequent parameter vectors under the constraint of symbol-error-rate minimization. The constrained optimization problem then is solved with the Lagrange multiplier method, which results in an adaptive algorithm with normalization. Simulation results show that the proposed algorithm outperforms the existing adaptive minimum-symbol-error-rate equalizer in convergence speed and steady-state performance.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2013.13.120698