Equalization for fast time varying frequency selective fading channel under class-a impulsive noise

Abstract

The paper presents an adaptive equalizer for fast frequency selective fading channels under class-A impulsive noise environment. The equalizer is based on the principals of Maximum Likelihood sequence estimator (MLSE) and employs the minimum survivor processing approach to obtain a reliable data. The channel impulse response is expanded onto a set of basis sequences and a time invariant (TI) expansion parameters. The proposed equalizer continuously estimates the time invariant expansion parameters directly within the metric calculation of the Viterbi algorithm (VA). The pegormance of the proposed equalizer is evaluated in terms of the symbol error probability and compared to other equalizers.