Matched field processing: environmental focusing and source tracking with application to North Elba data set

Soares, C.; Waldhorst, A.; Jesus, S. M.

http://hdl.handle.net/10400.1/5221

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Authors

Soares, C.

Waldhorst, A.

Jesus, S. M.

Abstract(s)

Experimental results on the localization of a moving sound source in shallow water are presented. Genetic algorithms (GA) are used to rst intensively estimate the environment from a xed 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.

Keywords

North Elba data set Environmental focusing

URI

http://hdl.handle.net/10400.1/5221

Citation

C. SOARES, A. WALDHORST and S.M. JESUS, `Matched Field Processing: Environmental Focusing and Source Tracking with Application to North Elba Data Set'' in MTS/IEEE OCEANS'99, vol. 3, pp. 1598-1602.