Normalized Adaptive Channel Equalizer Based on Minimal Symbol-Error-Rate | IEEE Journals & Magazine | IEEE Xplore

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


Abstract:

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 derivati...Show More

Abstract:

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.
Published in: IEEE Transactions on Communications ( Volume: 61, Issue: 4, April 2013)
Page(s): 1374 - 1383
Date of Publication: 20 February 2013

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