HMM soft-output decoder for QAM signals with a clustered constellation

Iain B. Collings; John B. Moore

HMM soft-output decoder for QAM signals with a clustered constellation

^*Corresponding author for this work

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

Abstract

This paper presents a new HMM soft-output decoder for QAM signals transmitted through narrow-band flat-fading channels, in the case where the signal constellation has points which are clustered into groups. Parallel HMM filters are used for QAM detection, with one filter for each group of constellation points. This greatly reduces the number of computations required. A Kalman Filter (KF) is then applied for channel estimation. The resulting adaptive algorithms appear as coupled KF and HMM filters. As well as having reduced computations, this approach does not require so called `hard-decoding-decisions' to be made, which results in better robustness to noise.

Original language	English
Title of host publication	Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	172-175
Number of pages	4
Volume	1
Publication status	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2) - Gold Coast, Aust Duration: 25 Aug 1996 → 30 Aug 1996

Other

Other	Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2)
City	Gold Coast, Aust
Period	25/08/96 → 30/08/96

Cite this

@inproceedings{b11806deaf7c47b7add154f474466ab6,

title = "HMM soft-output decoder for QAM signals with a clustered constellation",

abstract = "This paper presents a new HMM soft-output decoder for QAM signals transmitted through narrow-band flat-fading channels, in the case where the signal constellation has points which are clustered into groups. Parallel HMM filters are used for QAM detection, with one filter for each group of constellation points. This greatly reduces the number of computations required. A Kalman Filter (KF) is then applied for channel estimation. The resulting adaptive algorithms appear as coupled KF and HMM filters. As well as having reduced computations, this approach does not require so called `hard-decoding-decisions' to be made, which results in better robustness to noise.",

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

year = "1996",

language = "English",

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pages = "172--175",

booktitle = "Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA",

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

address = "United States",

note = "Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2) ; Conference date: 25-08-1996 Through 30-08-1996",

}

Collings, IB & Moore, JB 1996, HMM soft-output decoder for QAM signals with a clustered constellation. in Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA. vol. 1, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 172-175, Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2), Gold Coast, Aust, 25/08/96.

HMM soft-output decoder for QAM signals with a clustered constellation. / Collings, Iain B.; Moore, John B.
Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA. Vol. 1 Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 1996. p. 172-175.

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

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AU - Collings, Iain B.

AU - Moore, John B.

PY - 1996

Y1 - 1996

N2 - This paper presents a new HMM soft-output decoder for QAM signals transmitted through narrow-band flat-fading channels, in the case where the signal constellation has points which are clustered into groups. Parallel HMM filters are used for QAM detection, with one filter for each group of constellation points. This greatly reduces the number of computations required. A Kalman Filter (KF) is then applied for channel estimation. The resulting adaptive algorithms appear as coupled KF and HMM filters. As well as having reduced computations, this approach does not require so called `hard-decoding-decisions' to be made, which results in better robustness to noise.

AB - This paper presents a new HMM soft-output decoder for QAM signals transmitted through narrow-band flat-fading channels, in the case where the signal constellation has points which are clustered into groups. Parallel HMM filters are used for QAM detection, with one filter for each group of constellation points. This greatly reduces the number of computations required. A Kalman Filter (KF) is then applied for channel estimation. The resulting adaptive algorithms appear as coupled KF and HMM filters. As well as having reduced computations, this approach does not require so called `hard-decoding-decisions' to be made, which results in better robustness to noise.

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M3 - Conference proceeding contribution

AN - SCOPUS:0030375993

VL - 1

SP - 172

EP - 175

BT - Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2)

Y2 - 25 August 1996 through 30 August 1996

ER -

HMM soft-output decoder for QAM signals with a clustered constellation

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