Maximum likelihood decoding of QAM signals in Markov modulated fading channels

Iain B. Collings; Andrew Logothetis; Vikram Krishnamurthy

doi:10.1109/SPAWC.1997.630414

Maximum likelihood decoding of QAM signals in Markov modulated fading channels

Iain B. Collings^*, Andrew Logothetis, Vikram Krishnamurthy

^*Corresponding author for this work

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

Abstract

This paper presents a new decoder for quadrature-amplitude-modulated (QAM) signals transmitted through Markov modulated fading channels. Markov modulated channels arise in city environments when a direct line of sight is blocked intermittently, and for large area coverage mobile cells where the channel has large variations in fading statistics. The channel is modelled as a time varying AR process, with coefficients which depend on a Markov chain. An optimal batch algorithm is presented which provides estimates of the channel and the digital signal. This is achieved by optimally coupling a Viterbi algorithm and a Kalman filter. The optimality is demonstrated via the Expectation Maximization algorithm. In addition, a sub-optimal on-line algorithm has been derived. By considering the channel to be Markov modulated, benefits can be gained over standard techniques which assume fixed fading statistics.

Original language	English
Title of host publication	IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Place of Publication	Piscataway, N.J.
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	405-408
Number of pages	4
ISBN (Electronic)	0780339452
ISBN (Print)	0780339444
DOIs	https://doi.org/10.1109/SPAWC.1997.630414
Publication status	Published - Apr 1997
Externally published	Yes
Event	Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 - Paris, Fr Duration: 16 Apr 1997 → 18 Apr 1997

Other

Other	Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97
City	Paris, Fr
Period	16/04/97 → 18/04/97

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10.1109/SPAWC.1997.630414

Cite this

@inproceedings{57cdeace052546e7846eaf6e7dba13c8,

title = "Maximum likelihood decoding of QAM signals in Markov modulated fading channels",

abstract = "This paper presents a new decoder for quadrature-amplitude-modulated (QAM) signals transmitted through Markov modulated fading channels. Markov modulated channels arise in city environments when a direct line of sight is blocked intermittently, and for large area coverage mobile cells where the channel has large variations in fading statistics. The channel is modelled as a time varying AR process, with coefficients which depend on a Markov chain. An optimal batch algorithm is presented which provides estimates of the channel and the digital signal. This is achieved by optimally coupling a Viterbi algorithm and a Kalman filter. The optimality is demonstrated via the Expectation Maximization algorithm. In addition, a sub-optimal on-line algorithm has been derived. By considering the channel to be Markov modulated, benefits can be gained over standard techniques which assume fixed fading statistics.",

author = "Collings, {Iain B.} and Andrew Logothetis and Vikram Krishnamurthy",

year = "1997",

month = apr,

doi = "10.1109/SPAWC.1997.630414",

language = "English",

isbn = "0780339444",

pages = "405--408",

booktitle = "IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC",

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

address = "United States",

note = "Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97 ; Conference date: 16-04-1997 Through 18-04-1997",

}

Collings, IB, Logothetis, A & Krishnamurthy, V 1997, Maximum likelihood decoding of QAM signals in Markov modulated fading channels. in IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC., 630414, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 405-408, Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97, Paris, Fr, 16/04/97. https://doi.org/10.1109/SPAWC.1997.630414

Maximum likelihood decoding of QAM signals in Markov modulated fading channels. / Collings, Iain B.; Logothetis, Andrew; Krishnamurthy, Vikram.
IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE), 1997. p. 405-408 630414.

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

TY - GEN

T1 - Maximum likelihood decoding of QAM signals in Markov modulated fading channels

AU - Collings, Iain B.

AU - Logothetis, Andrew

AU - Krishnamurthy, Vikram

PY - 1997/4

Y1 - 1997/4

N2 - This paper presents a new decoder for quadrature-amplitude-modulated (QAM) signals transmitted through Markov modulated fading channels. Markov modulated channels arise in city environments when a direct line of sight is blocked intermittently, and for large area coverage mobile cells where the channel has large variations in fading statistics. The channel is modelled as a time varying AR process, with coefficients which depend on a Markov chain. An optimal batch algorithm is presented which provides estimates of the channel and the digital signal. This is achieved by optimally coupling a Viterbi algorithm and a Kalman filter. The optimality is demonstrated via the Expectation Maximization algorithm. In addition, a sub-optimal on-line algorithm has been derived. By considering the channel to be Markov modulated, benefits can be gained over standard techniques which assume fixed fading statistics.

AB - This paper presents a new decoder for quadrature-amplitude-modulated (QAM) signals transmitted through Markov modulated fading channels. Markov modulated channels arise in city environments when a direct line of sight is blocked intermittently, and for large area coverage mobile cells where the channel has large variations in fading statistics. The channel is modelled as a time varying AR process, with coefficients which depend on a Markov chain. An optimal batch algorithm is presented which provides estimates of the channel and the digital signal. This is achieved by optimally coupling a Viterbi algorithm and a Kalman filter. The optimality is demonstrated via the Expectation Maximization algorithm. In addition, a sub-optimal on-line algorithm has been derived. By considering the channel to be Markov modulated, benefits can be gained over standard techniques which assume fixed fading statistics.

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U2 - 10.1109/SPAWC.1997.630414

DO - 10.1109/SPAWC.1997.630414

M3 - Conference proceeding contribution

AN - SCOPUS:0031331583

SN - 0780339444

SP - 405

EP - 408

BT - IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, N.J.

T2 - Proceedings of the 1997 1st IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC'97

Y2 - 16 April 1997 through 18 April 1997

ER -

Maximum likelihood decoding of QAM signals in Markov modulated fading channels

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