@inproceedings{d40029125885402eb9a7db6aca05870e,
title = "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 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.",
keywords = "Costs, Distributed processing, Fusion, Particle filtering",
author = "Bugallo, \{M{\'o}nica F.\} and Ma{\'i}z, \{Cristina S.\} and Joaqu{\'i}n M{\'i}guez and Djuri{\'c}, \{Petar M.\}",
year = "2009",
doi = "10.1109/DSP.2009.4785936",
language = "English",
isbn = "9781424436774",
series = "2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings",
pages = "286--291",
booktitle = "2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings",
note = "2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009 ; Conference date: 04-01-2009 Through 07-01-2009",
}