Efficient algorithms for sequence detection in non-Gaussian noise with intersymbol interference

Sequence detection is studied for communication channels with intersymbol i nterference and non-Gaussian noise using a novel adaptive receiver structur e. The receiver adapts itself to the noise environment using an algorithm w hich employs a Gaussian mixture distribution model and the expectation maxi mization algorithm, Two alternate procedures are studied for sequence detec tion. These are a procedure based on the Viterbi algorithm and a symbol-by- symbol detection procedure. The Viterbi algorithm minimizes the probability the sequence is in error and the symbol-bg-symbol detector minimizes symbo l-error rate, which are different.