Importance

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Abstract

A method for selecting the best survivor from a plurality of surviving possible distal data symbols creates a channel estimate for each of the survivors independent of the others. The likelihood of each survivor is then evaluated, whereupon the most likely survivor is selected. The likelihood of each survivor is computed based only on its own channel estimate. A data sequence estimation system includes a memory for storing a plurality of 'surviving' sequences. For each stored survivor, the system includes a channel estimator and a metrics computer, which calculates a measure of the likelihood of the survivor as a function of the survivor itself, the observed input, and the parameters of the associated channel estimator. The system also includes a processor that accumulates the metric and selects a best survivor as a function of a computed maximum likelihood. There is no need to feed back the best survivor to update a single channel estimator, since, when the survivor has been selected, the associated channel estimator is already established.

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First Claim