Turbo equalization for GMSK signaling over multipath channels

Author

Wang, Xiaodong ; Yang, Zigang

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

4

fYear

2001

fDate

2001

Firstpage

2641

Abstract

A novel receiver is derived for Gaussian minimum shift keying (GMSK) signals through a multipath channel. A nonlinear signal model is derived which avoids the linear approximation in the conventional finite impulse response (FIR) system model. A Bayesian equalizer based on the Gibbs sampler, a Markov chain Monte Carlo (MCMC) procedure, is developed for joint channel estimation and symbol detection, and finally, a turbo equalizer structure is proposed for a coded GMSK system, in which the Bayesian equalizer successively refines its processing based on the information from the decoding stage, and vice versa

Keywords

Bayes methods; Markov processes; Monte Carlo methods; decoding; equalisers; minimum shift keying; multipath channels; parameter estimation; radio receivers; telecommunication signalling; Bayesian equalizer; GMSK signaling; Gaussian minimum shift keying signals; Gibbs sampler; Markov chain; Monte Carlo procedure; channel estimation; coded GMSK system; multipath channels; nonlinear signal model; receiver structures; symbol detection; turbo equalization; wireless communication systems; Bayesian methods; Channel estimation; Delay estimation; Equalizers; Frequency; Iterative decoding; Maximum likelihood decoding; Monte Carlo methods; Multipath channels; Performance loss;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940544

Filename

940544