Target localization through a data-based sensitivity kernel: A perturbation approach applied to a multistatic configuration

Abstract

A method to isolate the forward scattered field from the incident field on an object in a complex environment is developed for the purpose of localization. The method is based on a finite-frequency perturbation approach, through the measurement of a data-based sensitivity kernel. Experimental confirmation of the method is obtained using a cylindrical tank and an aggregate of ping-pong balls as targets surrounded by acoustic sources and receivers in a multistatic configuration. The spatial structure of the sensitivity kernel is constructed from field data for the target at a sparse set of positions, and compared with the expected theoretical structure. The localization of one or a few targets is demonstrated using the direct-path only. The experimental observations also show that the method benefits from including later arrivals from the tank wall and the bottom/surface reverberation, which indeed enhance the localization.

Multistatic acoustic characterization of seabed targets

“…In terms of work on how to use multistatic acoustic data, Yildiz et al 23 have looked at how to process multistatic data from sonar networks to get localization and tracking using inversion. Lum et al also looked at multistatic target localization.…”