@inproceedings{22b6ba63211d4851911eda4d4a527f1f,
title = "A new approach to cost-reference particle filtering",
abstract = "In this paper we propose a new cost-reference particle filter that exploits the concept of correlative learning. The objective of applying correlative learning is to obtain the centers of probability distributions that are used for particle generation. Such distributions should provide particles in regions of the state space that have low costs. The new cost-reference particle filter is compared to the original one through computer simulations of a target tracking system that uses range and bearings-only sensors, which are colocated.",
keywords = "Correlative learning, Dynamic systems, Particle filtering",
author = "Zejie Zhang and Bugallo, \{M{\'o}nica F.\} and Djuri{\'c}, \{Petar M.\}",
year = "2007",
doi = "10.1109/ACSSC.2007.4487307",
language = "English",
isbn = "9781424421107",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
pages = "711--714",
booktitle = "Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC",
note = "41st Asilomar Conference on Signals, Systems and Computers, ACSSC ; Conference date: 04-11-2007 Through 07-11-2007",
}