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

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