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Adaptive HMM filters for signals in noisy fading channels

I.B. Collings, J.B. Moore
Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing  

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In this paper, Kalman filtering (KF) and hidden ,Markov model (HMM) signal processing techniques are coupled to demodulate signals transmitted through noisy fading channels. The demodulation scheme presented can be applied to both digital M-ary differential phase shift keyed (MDPSK) and anslog frequency modulated (FM) signals. Adap tive state and parameter estimation algorithms are devised baaed on the assumption that the transmission channel introduces time-varying gain and phase changes,
more » ... led by a stochastic linear system, and has additive Gaussian noise. Our technique is to use an HMM filter, for signal estimation, coupled with a KF, for channel parameter tracking. The ap preach taken can easily be generalised for other transmission schemes, such as continuous phase modulated (CPM) signals. 1.
doi:10.1109/icassp.1994.390037 dblp:conf/icassp/CollingsM94 fatcat:4qnvxq7wjbhkdbu4jurscx4klm
Citation

I.B. Collings, J.B. Moore. "Adaptive HMM filters for signals in noisy fading channels." Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing 305-308