Title | Distributed auxiliary particle filters using selective gossip |
Publication Type | Conference Proceedings |
Year of Publication | 2011 |
Authors | Üstebay, D., M. J. Coates, and M. G. Rabbat |
Conference Name | IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
Pagination | 3296 - 3299 |
Date Published | May 2011 |
Conference Location | Prague, Czech Republic |
Keywords | distributed computation, gossip algorithms, Particle filters, target tracking |
Abstract | This paper introduces a distributed auxiliary particle filter for target tracking in sensor networks. Nodes maintain a shared particle filter by coming to a consensus about the likelihoods associated with each particle using the selective gossip procedure. Selective gossip provides a mechanism to efficiently identify the particles with largest weights and focus communication on sharing these important weights. We demonstrate through simulations that the algorithm performs well; compared to state-of-the-art approaches it either significantly improves the accuracy at the expense of a small increase in communication overhead, or achieves comparable accuracy with much lower communication overhead. |
DOI | 10.1109/ICASSP.2011.5946726 |