Random finite set particle filter for source enumeration and direction-of-arrival tracking using sonar arrays
Document Type
Conference Proceeding
Publication Date
8-11-2017
Publication Title
20th International Conference on Information Fusion, Fusion 2017 - Proceedings
Abstract
Direction-of-arrival (DOA) estimation and tracking of signals using passive sensor arrays is a classic problem that becomes challenging when the number of sources varies over time and the signal-to-noise ratio is low. In this paper, we pose this problem as minimum mean OSPA (MMOSPA) estimation, which minimizes the the optimal sub-pattern assignment (OSPA) metric of the posterior random finite set (RFS). A particle filter implementation of the MMOSPA estimator is developed for simultaneous source enumeration and DOA tracking. The performance of the new method is demonstrated by means of an experiment with a large sonar array in Florida.
DOI
10.23919/ICIF.2017.8009709
ISBN
9780996452700
Recommended Citation
Balasingam, Balakumar; Baum, Marcus; and Willett, Peter. (2017). Random finite set particle filter for source enumeration and direction-of-arrival tracking using sonar arrays. 20th International Conference on Information Fusion, Fusion 2017 - Proceedings.
https://scholar.uwindsor.ca/computersciencepub/127