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An adaptive Bernoulli-Gaussian model based maximum-likelihood channel equalizer for detection of binary sequences

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2 Author(s)
Wu-Ton Chen ; Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Chong-Yung Chi

Based on a modified Bernoulli-Gaussian model, an adaptive maximum-likelihood channel equalizer is proposed. It is a block signal processing algorithm for the detection of binary sequences transmitted through an unknown slowly time-varying channel. Both computational load and storage required by the proposed adaptive channel equalizer are linearly rather than exponentially proportional to the size of signal processing block. A simulation example is provided to show that it can simultaneously track the variation of slowly time-varying channels and detect unknown binary sequences well

Published in:

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Date of Conference:

3-6 May 1993