Adaptive minimum bit-error rate equalization for binary signaling

Author

Yeh, Chen-Chu ; Barry, John R.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

48

Issue

7

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

1226

Lastpage

1235

Abstract

We consider the design and adaptation of a linear equalizer with a finite number of coefficients in the context 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 can 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

AWGN; Gaussian noise; adaptive equalisers; error statistics; intersymbol interference; least mean squares methods; memoryless systems; telecommunication signalling; AWGN; BER reduction; LMS algorithm; MMSE linear equalizer; adaptive minimum bit-error rate equalization; additive white Gaussian noise; binary signaling; channel inverse approximation; equalizer coefficients; least-mean-square algorithm; linear intersymbol-interference channel; memoryless decision device; minimum mean-squared-error linear equalizer; minimum-BER equalizer; optimal linear equalizer; stochastic adaptive algorithm; Adaptive algorithm; Adaptive equalizers; Bit error rate; Convergence; Decision feedback equalizers; Intersymbol interference; Least squares approximation; Matched filters; Quadrature phase shift keying; Stochastic resonance;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.855530

Filename

855530