Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940544
