NDLI: Robust adaptive matched field processing

Content Provider	IEEE Xplore Digital Library
Author	Cox, H. Pitre, R. Hung Lai
Copyright Year	1998
Description	Author affiliation: Orincon Corp., Arlington, VA, USA (Cox, H.)
Abstract	Matched field array processing is used in underwater acoustics situations with refraction and coherent multipath so that a plane-wave directional steering vector is inappropriate. In practice, the propagation conditions are seldom known with accuracy so that mismatch between the true signal and the model-based steering vectors is an important issue. A second issue is that the underlying dynamics of the environment make it impossible to obtain adequate sample support for covariance matrix estimation and inversion. To solve these problems, the robust dominant mode rejection algorithm is used with a white noise gain constraint for robustness. A closeness test to exclude an eigenvector and inhibit nulling when an eigenvector is too close to the steering vector is examined. The two-signal case is presented in detail. Relationships between the eigenvectors and the signal direction vectors are presented in terms of their relative strength and spatial correlation.
Starting Page	127
Ending Page	131
File Size	363806
Page Count	5
File Format	PDF
ISBN	0780351487
ISSN	10586393
DOI	10.1109/ACSSC.1998.750840
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-11-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Underwater acoustics Noise robustness Ocean temperature Sea surface Sensor arrays Array signal processing Acoustic propagation Covariance matrix Marine vehicles Spatial resolution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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