PASSIVE ACOUSTIC DETECTION USING MFP TECHNIQUES: APPLICATION

Authors
  1. Wilmut, M.J.
Corporate Authors
Defence Research Establishment Pacific, Victoria BC (CAN)
Abstract
The paper represents the description of a method for predicting probability of detection for multiple sensors or arrays deployed in a region insonified by a signal when Matched Field Processing (MFP) is applied. Specifically the prediction of the probability of detection fora low signal-to-noise ratio narrow-band signal emitted by a source within a specified surveillance region is outlined and examples are given. The region is subdivided into a finite set of grid points which arethe potential source locations. A test statistic, optimal in the Neyman-Pearson sense for simple hypothesis testing (is there a signal present at a specified source location?) is derived under the assumption that the relative amplitudes and phases for the source location are predictable at a set of sensors. The noise statistics are also assumed tobe known. For this case, detection and false alarm probabilities can be calculated analytically as a function of scenario parameters. TRUNCATED
Report Number
DREP-TM-92-16 — Technical Memorandum
Date of publication
15 Dec 1992
Number of Pages
28
DSTKIM No
93-00286
CANDIS No
127509
Format(s):
Hardcopy;Originator's fiche received by DSIS

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