Correlation Based Testing for Passive Sonar Picture Rationalization

Essai Fondé sur des Corrélations en vue de la Rationalisation d'Images de Sonar Passif

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Authors
  1. Mellema, G.R.
Corporate Authors
Defence R&D Canada - Atlantic, Dartmouth NS (CAN)
Abstract
Modern passive sonar systems employ a high degree of automation to produce a track-level sonar picture. Further refinement of the track-level information is normally performed by a human operator. Providing automated assistance would reduce the operator’s workload and is a key enabler for semi- and fully automated sonar systems. The nature of the signals emitted by targets and of the underwater environment typically results in each target being represented by multiple track segments. A tool is required which can numerically describe the relationship between pairs of track segments so that those that apparently share a common origin can be identified automatically. The sample correlation coefficient, is a statistical measure of relatedness. This paper describes the application of a test based on that measure to compare tracks produced by a probabilistic data association filter from a set of towed array sonar data.

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Keywords
sonar;passive sonar;track associaton;data fusion;correlation;Track association
Report Number
DRDC-ATLANTIC-SL-2007-146 — Scientific Literature
Date of publication
10 Jul 2007
Number of Pages
6
DSTKIM No
CA029805
CANDIS No
528176
Format(s):
Electronic Document(PDF)

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