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In the transmission of digital data at a relatively high rate over aparticular band limited channel, it is normally necessary to employ anequalizer at the receiver in order to correct the signal distortion introducedby the channel .ISI (inter symbol interference) leads to large errorprobability if it is not suppressed .The possible solutions for coping with ISIsuch as equalization technique. Maximum Likelihood Sequence Estimation (MLSE)implemented with Viterbi algorithm is the optimal equalizer for this ISIproblem sense it minimizes the sequence of error rate. This estimator involvesa very considerable amount of equipment complexity especially when detecting amultilevel digital signal having large alphabet, and/or operating under achannel with long impulse response, this arises a need to develop detectionalgorithms with reduced complexity without losing the performance. The aim ofthis work is to study the various ways to remove the ISI, concentrating on thedecision-based algorithms (DFE, MLSE, and near MLSE), analyzing the differencebetween them from both performance and complexity point of view. An Improvednon linear equalizer with Perturbation algorithm has been suggested whichtrying to enhance the performance and reduce the computational complexity bycomparing it with the other existing detection algorithms.

A Proposed Improvement Equalizer for Telephone and Mobile Circuit Channels