A spatiotemporal approach to passive sound source localization

Abstract

The delay between the event and the observation is a fundamental problem in acoustic localization. This fact is accounted for in the presented localization approach as an additional stage in the applied model. This work concentrates on passive acoustic source localization from a spatiotemporal viewpoint. The direction of arrival (DOA) estimates are measured over time at spatially separated sensor stations, e.g. microphone arrays. The DOA estimates are combined to produce source likelihood in such a manner that the propagation delays are compensated. This paper focuses on incorporating the propagation delay model rather than studying the properties of the localization algorithm itself. The propagation delay correction is substantial in large area surveillance.