Cost-Reference Particle Filters and Fusion of Information | IEEE Conference Publication | IEEE Xplore

Cost-Reference Particle Filters and Fusion of Information


Abstract:

Cost-reference particle filtering is a methodology for tracking unknowns in a system without reliance on probabilistic information about the noises in the system. The met...Show More

Abstract:

Cost-reference particle filtering is a methodology for tracking unknowns in a system without reliance on probabilistic information about the noises in the system. The methodology is based on analogous principles as the ones of standard particle filtering. Unlike the random measures of standard particle filters that are composed of particles and weights, the random measures of cost-reference particle filters contain particles and user-defined costs. In this paper, we discuss a few scenarios where we need to meld random measures of two or more cost-reference particle filters. The objective is to obtain a fused random measure that combines the information from the individual cost-reference particle filters.
Date of Conference: 04-07 January 2009
Date Added to IEEE Xplore: 20 February 2009
CD:978-1-4244-3677-4
Conference Location: Marco Island, FL, USA

Contact IEEE to Subscribe

References

References is not available for this document.