Supervised Machine Learning for Estimation of Target Aspect Angle From Bistatic Acoustic Scattering

Abstract

When an aspect-dependent target is insonified by an acoustic source, distinct features are produced in the resulting bistatic scattered field. These features change as the aspect between the source and the target is varied. This paper describes the use of these features for estimation of the target aspect angle using data collected by an autonomous… (More)

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