Title :
Sequence detection and channel state estimation over finite state Markov channels
Author :
Kong, Hongwei ; Shwedyk, Ed
Author_Institution :
Wireless Technol. Labs., Lucent Technol., Whippany, NJ, USA
fDate :
5/1/1999 12:00:00 AM
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
Keywords :
AWGN; Markov processes; Rayleigh channels; interleaved codes; maximum likelihood decoding; maximum likelihood detection; maximum likelihood sequence estimation; state estimation; time-varying channels; AWGN; MAP channel state estimation; MLSE; Rayleigh fading channel; channel modeling error; channel state estimation; coded signals; computer simulations; error performance; finite state Markov channels; interleaving; maximum a posteriori estimation; maximum likelihood sequence estimation; sequence detection; soft-decision decoding; time-varying channels; AWGN; Channel estimation; Fading; Hidden Markov models; Interleaved codes; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; State estimation; Time-varying channels;
Journal_Title :
Vehicular Technology, IEEE Transactions on
