Adaptive minimum bit-error rate equalization for binary signaling

doi:10.1109/26.855530

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Adaptive minimum bit-error rate equalization for binary signaling

2000-07-01

142

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Barry, JR

DOI：10.1109/26.855530

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Abstract

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We consider the design and adaptation of a linear equalizer with a finite number of coefficients in the contest of a classical linear intersymbol-interference channel with Gaussian noise and a memoryless decision device. If the number of equalizer coefficients is sufficient, the popular minimum mean-squared-error (MMSE) linear equalizer closely approximates the optimal linear equalizer that directly minimizes bit-error rate (BER). However, when the number of equalizer coefficients is insufficient to approximate the channel inverse, the minimum-BER equalizer ran outperform the MMSE equalizer by as much as 16 dB in certain cases. We propose a simple stochastic adaptive algorithm for realizing the minimum-BER equalizer. Compared to the least-mean-square algorithm, the proposed algorithm can provide a substantial reduction in BER with no increase in complexity.

Keywords:

adaptive equalizers

intersymbol interference

minimum mean-squared error (MMSE) equalization

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