Adaptive matched filter detection method on underwater small aperture array

Jing Wang; Jianguo Huang; Yameng Jiao; Qunfei Zhang

doi:10.1109/SSP.2011.5967837

Adaptive matched filter detection method on underwater small aperture array

Jing Wang, Jianguo Huang, Yameng Jiao, Qunfei Zhang

School of Marine Science and Technology

Northwestern Polytechnical University Xian

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

Abstract

To solve the detection problem in underwater colored noise on small aperture array, an adaptive matched filter based on maximum likelihood (ML-AMF) is proposed in this paper. A new test statistic is deduced. ML-AMF method is robust to the uncertainness of steering vector. Simulation and experiment results show the efficiency of the method. Experiment results on an 8 element array show that ML-AMF performs better than minimum variance distortionless response (MVDR) and conventional beamforming (CBF) of 15dB and 1217dB respectively.

Original language	English
Title of host publication	2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Publisher	IEEE Computer Society
Pages	97-100
Number of pages	4
ISBN (Print)	9781457705700
DOIs	https://doi.org/10.1109/SSP.2011.5967837
State	Published - 2011

Publication series

Name	IEEE Workshop on Statistical Signal Processing Proceedings

Keywords

AMF
color noise
detection
Small aperture array

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10.1109/SSP.2011.5967837

Cite this

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title = "Adaptive matched filter detection method on underwater small aperture array",

abstract = "To solve the detection problem in underwater colored noise on small aperture array, an adaptive matched filter based on maximum likelihood (ML-AMF) is proposed in this paper. A new test statistic is deduced. ML-AMF method is robust to the uncertainness of steering vector. Simulation and experiment results show the efficiency of the method. Experiment results on an 8 element array show that ML-AMF performs better than minimum variance distortionless response (MVDR) and conventional beamforming (CBF) of 15dB and 1217dB respectively.",

keywords = "AMF, color noise, detection, Small aperture array",

author = "Jing Wang and Jianguo Huang and Yameng Jiao and Qunfei Zhang",

year = "2011",

doi = "10.1109/SSP.2011.5967837",

language = "英语",

isbn = "9781457705700",

series = "IEEE Workshop on Statistical Signal Processing Proceedings",

publisher = "IEEE Computer Society",

pages = "97--100",

booktitle = "2011 IEEE Statistical Signal Processing Workshop, SSP 2011",

}

Adaptive matched filter detection method on underwater small aperture array. / Wang, Jing; Huang, Jianguo; Jiao, Yameng et al.
2011 IEEE Statistical Signal Processing Workshop, SSP 2011. IEEE Computer Society, 2011. p. 97-100 5967837 (IEEE Workshop on Statistical Signal Processing Proceedings).

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

TY - GEN

T1 - Adaptive matched filter detection method on underwater small aperture array

AU - Wang, Jing

AU - Huang, Jianguo

AU - Jiao, Yameng

AU - Zhang, Qunfei

PY - 2011

Y1 - 2011

N2 - To solve the detection problem in underwater colored noise on small aperture array, an adaptive matched filter based on maximum likelihood (ML-AMF) is proposed in this paper. A new test statistic is deduced. ML-AMF method is robust to the uncertainness of steering vector. Simulation and experiment results show the efficiency of the method. Experiment results on an 8 element array show that ML-AMF performs better than minimum variance distortionless response (MVDR) and conventional beamforming (CBF) of 15dB and 1217dB respectively.

AB - To solve the detection problem in underwater colored noise on small aperture array, an adaptive matched filter based on maximum likelihood (ML-AMF) is proposed in this paper. A new test statistic is deduced. ML-AMF method is robust to the uncertainness of steering vector. Simulation and experiment results show the efficiency of the method. Experiment results on an 8 element array show that ML-AMF performs better than minimum variance distortionless response (MVDR) and conventional beamforming (CBF) of 15dB and 1217dB respectively.

KW - AMF

KW - color noise

KW - detection

KW - Small aperture array

UR - http://www.scopus.com/inward/record.url?scp=80052201031&partnerID=8YFLogxK

U2 - 10.1109/SSP.2011.5967837

DO - 10.1109/SSP.2011.5967837

M3 - 会议稿件

AN - SCOPUS:80052201031

SN - 9781457705700

T3 - IEEE Workshop on Statistical Signal Processing Proceedings

SP - 97

EP - 100

BT - 2011 IEEE Statistical Signal Processing Workshop, SSP 2011

PB - IEEE Computer Society

ER -

Adaptive matched filter detection method on underwater small aperture array

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