Adaptive matched filter detection method on underwater small aperture array

Author

Wang, Jing ; Huang, Jianguo ; Jiao, Yameng ; Zhang, Qunfei

Author_Institution

Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China

fYear

2011

fDate

28-30 June 2011

Firstpage

97

Lastpage

100

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 1~5dB and 12~17dB respectively.

Keywords

adaptive filters; array signal processing; matched filters; maximum likelihood detection; statistical testing; underwater acoustic communication; CBF; ML-AMF; MVDR; adaptive matched filter based on maximum likelihood; conventional beamforming; minimum variance distortionless response; statistical testing; steering vector; underwater colored noise; underwater small aperture array signal processing; Arrays; Colored noise; Correlation; Covariance matrix; Detectors; Signal to noise ratio; AMF; Small aperture array; color noise; detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing Workshop (SSP), 2011 IEEE

Conference_Location

Nice

ISSN

pending

Print_ISBN

978-1-4577-0569-4

Type

conf

DOI

10.1109/SSP.2011.5967837

Filename

5967837