Source localization based on matched field processing focalization using shallow-water experimental data

Diniz, P. M. Instituto de Estudos do Mar Almirante Paulo Moreira, Arraial do Cabo, RJ, Brasil, md.pedro@live.com

Vio, R. P. Instituto de Estudos do Mar Almirante Paulo Moreira, Arraial do Cabo, RJ, Brasil, peres.vio@marinha.mil.br

Xavier, F. C. Instituto de Estudos do Mar Almirante Paulo Moreira, Arraial do Cabo, RJ, Brasil, fabiofcx@gmail.com

Calazan, R. M. Instituto de Estudos do Mar Almirante Paulo Moreira, Arraial do Cabo, RJ, Brasil, moraes.calazan@marinha.mil.br

Abstract

Matched field processing (MFP) is an inversion method that combines signal processing techniques with predic- tions of the acoustic field computed by numerical models and has been applied extensively to source localization. MFP's performance is dependent on accurate environment knowledge and degrades as the uncertainties about environmental parameters accumulate, resulting in model mismatch. To reduce model mismatch, the focalization technique can be used, by including environmental parameters in the search space in addition to source position, thus allowing the environment to be handled as a lens that can be focused. To this effect, a genetic algorithm is employed to efficiently optimize for multiple parameters simultaneously. This paper considers the inversion of experimental data from a shallow-water, mildly range-dependent track from the CALCOM' 10 sea trial, which was not designed for source localization inversion and has multiple uncertainties for the accurate modelling of the channel. The experiment was run off the southern coast of Portugal, with an acoustic source being towed along various tracks and the signals acquired by a 16-element vertical line array deployed on a drifting buoy. Particularly, sound speed data is limited to low-resolution temperature measurements at receiver position. The results show that when a focalization step is included prior to MFP and the sound speed profile is incorporated into the optimization successful inversion for source range and depth is achieved.

Keywords:

underwater acoustics

source localization

matched field processing

focalization.

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