Pseudo-maximum likelihood data estimation algorithm and its performance analysis

Hamid R. Sadjadpour, Charles L. Weber · 2002

The term blind equalization or deconvolution in communication and signal processing applications refers to recovering the input data sequence which is transmitted through a linear channel by knowing its output only. A pseudo-maximum likelihood data estimation (PML) algorithm for discrete channels with finite memory in additive white Gaussian noise (AWGN) is developed. The performance analysis of the PML algorithm is derived. Computer simulation results demonstrate the performance of the PML algorithm together with its analytical results.

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