Adaptive HMM filters for signals in noisy fading channels

Iain B. Collings, John B. Moore

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)

Abstract

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 analog frequency modulated (FM) signals. Adaptive state and parameter estimation algorithms are devised based on the assumption that the transmission channel introduces time-varying gain and phase changes, modelled 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 approach taken can easily be generalised for other transmission schemes, such as continuous phase modulated (CPM) signals.

Original languageEnglish
Title of host publicationProceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesIII-305-III-308
Number of pages4
ISBN (Print)0780317750
DOIs
Publication statusPublished - 1994
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech and Signal Processing - Adelaide, Australia
Duration: 19 Apr 199422 Apr 1994

Publication series

Name
ISSN (Print)1520-6149

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing
CountryAustralia
CityAdelaide
Period19/04/9422/04/94

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Cite this

Collings, I. B., & Moore, J. B. (1994). Adaptive HMM filters for signals in noisy fading channels. In Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing (pp. III-305-III-308). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICASSP.1994.390037