Iterative and sequential Bayesian filtering approaches have been successfully employed for the estimation of select features of received acoustic signals - namely, arrival times and amplitudes of paths that have interacted with the propagation medium. These are subsequently utilized in source localization and environmental property estimation. Sequential filtering has the advantage of relating multipath arrival times across spatially separated hydrophones of a receiving array, providing "tighter" estimates of arrival times and amplitudes and, thus, probability densities with a reduced "spread" in inversion. We here present a new implementation of linearization of the relationship that links source location, water depth, and sound speed to the received sound field using arrival time estimates extracted with sequential filtering from time-series received at an array of phones in the ocean.
|Original language||English (US)|
|Journal||Proceedings of Meetings on Acoustics|
|State||Published - 2013|
|Event||21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America - Montreal, QC, Canada|
Duration: Jun 2 2013 → Jun 7 2013
All Science Journal Classification (ASJC) codes
- Acoustics and Ultrasonics