Localization of right whales using matched correlation processing

Gordon R. Ebbeson, Francine Desharnais

Abstract


The use of Matched Correlation Processing (MCP) for the localization of right whales was demonstrated. Model-based MCP techniques have been researched with the goal of improving the capability of passive sonar systems for localizing quiet underwater sources. The cross-correlations for a broadband source as measured with a pair of hydrophones in a horizontal array are matched with those generated with a correlation model for many candidate ranges and depth along a candidate bearing. These matches are carried out with a number of hydrophone pairs to form many range-depth ambiguity surfaces. A three-sensor horizontal array with an aperture of 125 m was deployed on the sea bottom in 68 m of water and the hydrophones were localized using an Array Element Localization (AEL) procedure. A light bulb was imploded at a depth of 41.5 m from hydrophone. Using light bulbs as simulated right whale gunshots, the technique was shown to work extremely well out to a range of about six water depths in an environment that has sufficient bottom reflections.

Keywords


Acoustic signal processing; Computer simulation; Hydrophones; Light reflection; Mathematical models; Underwater structures; Broadband sources; Matched Correlation Processing (MCP); Underwater sources

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