Adaptive HMM filters for signals in noisy fading channels

Iain B. Collings; John B. Moore

doi:10.1109/ICASSP.1994.390037

Adaptive HMM filters for signals in noisy fading channels

Iain B. Collings, John B. Moore

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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 language	English
Title of host publication	Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	III-305-III-308
Number of pages	4
ISBN (Print)	0780317750
DOIs	https://doi.org/10.1109/ICASSP.1994.390037
Publication status	Published - 1994
Externally published	Yes
Event	IEEE International Conference on Acoustics, Speech and Signal Processing - Adelaide, Australia Duration: 19 Apr 1994 → 22 Apr 1994

Publication series

Name
ISSN (Print)	1520-6149

Conference

Conference	IEEE International Conference on Acoustics, Speech and Signal Processing
Country/Territory	Australia
City	Adelaide
Period	19/04/94 → 22/04/94

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10.1109/ICASSP.1994.390037

Cite this

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title = "Adaptive HMM filters for signals in noisy fading channels",

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.",

author = "Collings, {Iain B.} and Moore, {John B.}",

year = "1994",

doi = "10.1109/ICASSP.1994.390037",

language = "English",

isbn = "0780317750",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "III--305--III--308",

booktitle = "Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing",

address = "United States",

note = "IEEE International Conference on Acoustics, Speech and Signal Processing ; Conference date: 19-04-1994 Through 22-04-1994",

}

Collings, IB & Moore, JB 1994, Adaptive HMM filters for signals in noisy fading channels. in Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. III-305-III-308, IEEE International Conference on Acoustics, Speech and Signal Processing, Adelaide, South Australia, Australia, 19/04/94. https://doi.org/10.1109/ICASSP.1994.390037

Adaptive HMM filters for signals in noisy fading channels. / Collings, Iain B.; Moore, John B.
Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 1994. p. III-305-III-308.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Adaptive HMM filters for signals in noisy fading channels

AU - Collings, Iain B.

AU - Moore, John B.

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33747754949&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.1994.390037

DO - 10.1109/ICASSP.1994.390037

M3 - Conference proceeding contribution

AN - SCOPUS:33747754949

SN - 0780317750

SP - III-305-III-308

BT - Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - IEEE International Conference on Acoustics, Speech and Signal Processing

Y2 - 19 April 1994 through 22 April 1994

ER -

Adaptive HMM filters for signals in noisy fading channels

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