IEEE Transactions on Communications · 1994 · 137 citations · 5 references
EngineeringElectrical EngineeringInformation TheoryPropagationWireless CommunicationsChannel EstimationChannel Performance AnalysisDiversity TechniquesMaximum Likelihood EstimationWireless Channel ModelingChannel Estimation For Fading ChannelsFadingFrequency-selective FadingKalman Filter Channel EstimationMaximum Likelihood Channel EstimationRayleigh FadingSignalsViterbi Algorithm
Presents sequence estimation for the frequency selective Rayleigh fading channel. Maximum likelihood estimation using the Viterbi algorithm (MLSE-VA) and sequential sequence estimation (SSE) are developed. Both MLSE-VA and SSE consist of a set of Kalman filters which estimate the fading channel as time evolves. Computer simulations for two different channel models show that the error performance of the two approaches is essentially the same. SSE however has considerably less computational complexity than MLSE-VA. To improve the error performance, diversity is combined with both MLSE-VA and SSE. The simulations show that diversity results in a signal to noise ratio gain of greater than 10 dB.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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