Performance and Implementation of Adaptive Partial Response Maximum Likelihood Detection
نویسندگان
چکیده
Motivated by previous comparison work, a configuration for partial response maximum likelihood detection using the Viterbi algorithm (PRML/VA) detectors with adaptive target polynomials is examined. In this configuration, a mean-quared error decision feedback equalization (MSE-DFE) is used to adapt both the forward equalizer and the target channel for the Viterbi detector. The performance of this adaptive PRML/VA is analyzed and compared with other detection techniques. The issue of convergence speed is also studied.
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