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Consensus based distributed particle filter in sensor networks

Gu, D and Sun, J and Hu, Z and Li, H (2008) Consensus based distributed particle filter in sensor networks. In: UNSPECIFIED, ? - ?.

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Abstract

This paper presents a distributed particle filter over sensor networks. We propose two major steps to make a particle filter to work in a distributed way. The first step is the estimation of global mean and covariance of weighted particles by using an average consensus filter. The second step is the propagation of the estimated global mean and covariance through state transition distribution and likelihood distribution by using an unscented transformation. Through this transformation, partial high order information of the estimated global mean and covariance can be incorporated into the estimates for non-linear models. Simulations of tracking tasks in a sensor network with 100 sensor nodes are given. © 2008 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Proceedings of the 2008 IEEE International Conference on Information and Automation, ICIA 2008
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Clare Chatfield
Date Deposited: 14 Jan 2013 15:46
Last Modified: 23 Jan 2019 00:16
URI: http://repository.essex.ac.uk/id/eprint/4852

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