| 摘要 |
An iterative approach is used to find maximum likelihood sequence estimates of a transmitted symbol sequence. Each possible transmitted signal is represented by an indicator vector which selects the transmitted symbol from a symbol library vector. Channel estimates are generated representing the estimated impulse response of the communication channel to each transmitted symbol. The channel estimates are used to form a matched medium response vector and an interaction matrix. The matched medium response vector represents the matched medium response of the receiver to both a transmitter and the channel for each transmitted symbol. The interaction matrix represents the ISI between symbols. The matched medium response vector and the interaction matrix are fed to an estimated symbol probability vector generator which calculates in an iterative manner the estimated symbol probability vectors corresponding to each transmitted symbol. The estimated symbol probability vectors can be output to a hard-decision generator which makes a hard-decision about the transmitted symbols. Alternatively, the estimated symbol probability vectors can be output to a soft-decision decoder.
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