Sequence detection and channel state estimation over finite stateMarkov channels |
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Authors: | Hongwei Kong Shwedyk E. |
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Affiliation: | Wireless Technol. Labs., Lucent Technol., Whippany, NJ; |
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Abstract: | A useful model for general time-varying channels is a finite state Markov chain. In this paper, maximum likelihood sequence estimation (MLSE) for signals over finite state Markov channels (FSMCs) is studied. Also studied is the maximum a posteriori (MAP) channel state estimation. When coded signals with interleaving are transmitted, the channel estimates can be used to make soft-decision decoding. The error performance of the proposed sequence and channel state estimation schemes are evaluated through computer simulations. The effect of channel modeling error is also discussed |
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