IEEE Transactions on Communications · 1998 · 44 citations · 6 references
EngineeringCommunicationElectrical EngineeringDigital CommunicationInformation TheoryWireless CommunicationsChannel EstimationDigital Signal ProcessingKalman FilteringMultipath PropagationSignal Detection TheoryWireless Channel ModelingAdaptive Channel EstimationAdaptive EqualizationChannel Estimation For Fading ChannelsEqualizationFrequency-selective FadingKalman Filter Channel EstimationRecursive Channel EstimationRobust Channel Estimation
A novel adaptive nonlinear equalizer for fast time-varying multipath channels that combines the channel estimation and data detection tasks is presented. The a posteriori probabilities (APPs) of the states of the intersymbol interference (ISI) channel are recursively computed from the received data by a symbol-by-symbol (SbS) detector and are then employed by a Kalman-type nonlinear channel estimator. Robust channel tracking and good data-detection performance are obtained, with a reasonable receiver complexity.
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