Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models

P. Runkle; L. Carin

doi:10.1109/ICASSP.1999.758351

Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models

P. Runkle, L. Carin

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

Abstract

A wave-based matching-pursuits algorithm is used to parse multi-aspect time-domain backscattering data into its underlying wavefront-resonance constituents, or features. Consequently, the N multi-aspect waveforms under test are mapped into N feature vectors, y/sub n/. Target identification is effected by fusing these N vectors in a maximum-likelihood sense, which we show, under reasonable assumptions, can be implemented via a hidden Markov model (HMM). The algorithm performance is assessed by considering measured acoustic scattering data from five similar submerged elastic targets.

Original language	English (US)
Title of host publication	1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
Publisher	IEEE
Pages	2115-2118
Number of pages	4
Volume	4
ISBN (Print)	0-7803-5041-3
DOIs	https://doi.org/10.1109/ICASSP.1999.758351
State	Published - Mar 19 1999
Externally published	Yes
Event	1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) - Phoenix, AZ, USA Duration: Mar 15 1999 → Mar 19 1999

Conference

Conference	1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
Period	03/15/99 → 03/19/99

Keywords

Matching pursuit algorithms
Hidden Markov models
Acoustic scattering
Electromagnetic scattering
Scattering parameters
Physics
Dictionaries
Pursuit algorithms
Maximum likelihood detection
Acoustic pulses

Access to Document

10.1109/ICASSP.1999.758351

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=758351

Cite this

@inproceedings{49f25479d04e4e74bcfeb40382f91b67,

title = "Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models",

abstract = "A wave-based matching-pursuits algorithm is used to parse multi-aspect time-domain backscattering data into its underlying wavefront-resonance constituents, or features. Consequently, the N multi-aspect waveforms under test are mapped into N feature vectors, y/sub n/. Target identification is effected by fusing these N vectors in a maximum-likelihood sense, which we show, under reasonable assumptions, can be implemented via a hidden Markov model (HMM). The algorithm performance is assessed by considering measured acoustic scattering data from five similar submerged elastic targets.",

keywords = "Matching pursuit algorithms, Hidden Markov models, Acoustic scattering, Electromagnetic scattering, Scattering parameters, Physics, Dictionaries, Pursuit algorithms, Maximum likelihood detection, Acoustic pulses",

author = "P. Runkle and L. Carin",

year = "1999",

month = mar,

day = "19",

doi = "10.1109/ICASSP.1999.758351",

language = "English (US)",

isbn = "0-7803-5041-3",

volume = "4",

pages = "2115--2118",

booktitle = "1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)",

publisher = "IEEE",

note = "1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) ; Conference date: 15-03-1999 Through 19-03-1999",

}

Runkle, P & Carin, L 1999, Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models. in 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). vol. 4, 758351, IEEE, pp. 2115-2118, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 03/15/99. https://doi.org/10.1109/ICASSP.1999.758351

Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models. / Runkle, P.; Carin, L.
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). Vol. 4 IEEE, 1999. p. 2115-2118 758351.

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

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AU - Carin, L.

PY - 1999/3/19

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N2 - A wave-based matching-pursuits algorithm is used to parse multi-aspect time-domain backscattering data into its underlying wavefront-resonance constituents, or features. Consequently, the N multi-aspect waveforms under test are mapped into N feature vectors, y/sub n/. Target identification is effected by fusing these N vectors in a maximum-likelihood sense, which we show, under reasonable assumptions, can be implemented via a hidden Markov model (HMM). The algorithm performance is assessed by considering measured acoustic scattering data from five similar submerged elastic targets.

AB - A wave-based matching-pursuits algorithm is used to parse multi-aspect time-domain backscattering data into its underlying wavefront-resonance constituents, or features. Consequently, the N multi-aspect waveforms under test are mapped into N feature vectors, y/sub n/. Target identification is effected by fusing these N vectors in a maximum-likelihood sense, which we show, under reasonable assumptions, can be implemented via a hidden Markov model (HMM). The algorithm performance is assessed by considering measured acoustic scattering data from five similar submerged elastic targets.

KW - Matching pursuit algorithms

KW - Hidden Markov models

KW - Acoustic scattering

KW - Electromagnetic scattering

KW - Scattering parameters

KW - Physics

KW - Dictionaries

KW - Pursuit algorithms

KW - Maximum likelihood detection

KW - Acoustic pulses

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DO - 10.1109/ICASSP.1999.758351

M3 - Conference contribution

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BT - 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)

PB - IEEE

T2 - 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)

Y2 - 15 March 1999 through 19 March 1999

ER -

Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models

Abstract

Conference

Keywords

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