NDLI: Rate Distortion Bounds on Passive Sonar Performance

Content Provider	IEEE Xplore Digital Library
Author	Tianzhu Meng Buck, J.R.
Copyright Year	1991
Abstract	Information theory provides a novel perspective on passive sonar performance analysis. This approach begins by partitioning the search space and then considers the problem of assigning a source to the correct partition based on pressure observations from a hydrophone array. Prior work described necessary conditions for achieving arbitrarily small probability of error (Pe) as a tradeoff between signal-to-noise ratio (SNR) and the range accuracy of the partitions. This paper presents a method to extend these results using the rate-distortion function to find necessary conditions for any Pe . The Gaussian channel bound sets an upper limit on the information rate received at the array. Through the rate-distortion function, this upper limit on the information rate implies a lower bound on Pe for a given partition. Furthermore, the current work describes a tradeoff between range accuracy, Pe and SNR. Examples of this tradeoff are evaluated for both one-dimensional (bearing) and two-dimensional (range-depth) estimation problems.
Sponsorship	IEEE Signal Processing Society
Starting Page	326
Ending Page	336
Page Count	11
File Size	1296274
File Format	PDF
ISSN	1053587X
Volume Number	58
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rate-distortion Sonar measurements Acoustic propagation Sonar equipment Information rates Underwater acoustics Performance analysis Signal to noise ratio Gaussian channels Acoustic arrays rate-distortion theory Bearing estimation passive sonar performance bound
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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