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Sequence detection and channel state estimation over finite state Markov channels

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2 Author(s)
Kong, H. ; Wireless Technol. Labs., Lucent Technol., Whippany, NJ, USA ; Shwedyk, E.

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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Vehicular Technology, IEEE Transactions on  (Volume:48 ,  Issue: 3 )