Local Importance Sampling: A Novel Technique to Enhance Particle Filtering
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| Title | Local Importance Sampling: A Novel Technique to Enhance Particle Filtering |
| Authors | |
| Abstract | In the low observation noise limit particle filters become inefficient. In this paper a simple-to- implement particle filter is suggested as a solution to this well-known problem. The proposed Local Importance Sampling based particle filters draw the particles’ positions in a two-step process that makes use of both the dynamics of the system and the most recent observation. Experiments with the standard bearings-only tracking problem indicate that the proposed new particle filter method is indeed very successful when observations are reliable. Experiments with a high-dimensional variant of this problem further show that the advantage of the new filter grows with the increasing dimensionality of the system. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2006-04-01 |
| Source | Journal of Multimedia Vol 1, No 1 (2006) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |