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

Volume

48

Issue

3

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

833

Lastpage

839

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;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/25.765000

Filename

765000