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Matched Field Processing: Environmental Focusing and Source Tracking with Application to North Elba Data Set

C. Soares
UCEH - Universidade do Algarve, Faro, Portugal
A. Waldhorst
Dep. of Electrical Eng., University of Bochum, Bochum, Germany
S.M. Jesus
UCEH - Universidade do Algarve, Faro, Portugal

Comments: download pdf file .
Ref.: Proc. MTS/IEEE Oceans'99, (ISBN 0-933957-24-6), p.1598-1602, Seattle, (USA), October 1999.

Abstract : Experimental results on the localization of a moving sound source in shallow water are presented. Genetic algorithms (GA) are used to first intensively estimate the environment from a fixed source part of the data. Then, assuming the stationarity of the environment, localization is carried out in the moving source part of the data. Comparison with results obtained previously on the same data set shows that the source range error is reduced by 75%, while the source depth error is reduced by approximatelly 50%. Further, using a band of 20 Hz instead of a single frequency conducts to more stable source location estimantes.

ACKNOWLEDGMENT: this work was partially supported by project INTIMATE from FCT (Portugal).