Title :
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
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;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.532923
