Multi-platform multi-target tracking fusion via covariance intersection: using fuzzy optimised modified Kalman filters with measurement noise covariance estimation

Presented in this paper is a detailed novel approach to tracking multiple moving targets from multiple moving platforms and fusing the individual estimates within platform centric nodes via covariance intersection. The approach presents a method of deconstructing the target model into a nonlinear el...

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Bibliographic Details
Published in:	IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications pp. 185 - 194
Main Authors:	Wren, T.J, Mahmood, A
Format:	Conference Proceeding
Language:	English
Published:	Stevenage IET 2008
Subjects:	Algebra Combinatorial mathematics Digital signal processing Filtering methods in signal processing fuzzy logic feedback structure covariance matrices fuzzy set theory Frobenius norm multiple moving target tracking feedback multi-platform multi-target tracking fusion platform centric nodes target tracking measurement noise covariance estimation measurement covariance matrix covariance intersection fuzzy optimised modified Kalman filters Kalman filters
ISBN:	0863419100, 9780863419102
Online Access:	Get full text
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