A hidden Markov model (HMM)-based MAP receiver for Nakagami fading channels

Author

Kong, Hongwei ; Shwedyk, Ed

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

fYear

1995

fDate

17-22 Sep 1995

Firstpage

210

Abstract

Signalling over Rayleigh fading channels can be classed as a general Gaussian problem. Optimal linear filtering can then be applied to jointly estimate the channel and detect the information sequence. For fading channels with non-Gaussian distributions, optimal linear filtering does not necessarily yield the best channel estimates. To exploit the channel memory, a first order finite Markov chain model (HMM) that statistically characterizes the Nakagami-m fading process is used to aid the channel estimation. Based on this, a maximum a posteriori (MAP) receiver using coherent detection is presented for binary PAM signals

Keywords

digital signals; fading; filtering theory; hidden Markov models; maximum likelihood estimation; pulse amplitude modulation; radio receivers; signal detection; Gaussian problem; HMM based MAP receiver; Nakagami fading channels; Rayleigh fading channels; binary PAM signals; channel estimates; channel estimation; channel memory; coherent detection; first order finite Markov chain model; hidden Markov model; information sequence detection; maximum a posteriori receiver; nonGaussian distributions; optimal linear filtering; signalling; Additive white noise; Band pass filters; Channel estimation; Fading; Frequency estimation; Gaussian processes; Hidden Markov models; Maximum likelihood detection; Nonlinear filters; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on

Conference_Location

Whistler, BC

Print_ISBN

0-7803-2453-6

Type

conf

DOI

10.1109/ISIT.1995.532923

Filename

532923