A broad class of sub-optimal Maximum Likelihood Sequence Estimators is presented, This class includes receivers using a simplified metric to perform the estimation, as well as approximate noise spectrum and channel function. The case of equalizing a channel to a partial response channel and using a Viterbi algorithm for the equalized channel is typical; here the sub-optimality consists in the improper handling of the noise, treated as white by the Viterbi algorithm. Additional sub-optimality can be present due to imperfect equalization.
The performance of sub-optimal receivers belonging to this broad class is analyzed. Several examples are given as a guide to performance computation.
By: L. C. Barbosa
Published in: RJ6245 in 1988
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