DocumentCode
567717
Title
Tracking of extended object or target group using random matrix — Part I: New model and approach
Author
Lan, Jian ; Li, X. Rong
Author_Institution
Center for Inf. Eng. Sci. Res., Xi´´an Jiaotong Univ., Xi´´an, China
fYear
2012
fDate
9-12 July 2012
Firstpage
2177
Lastpage
2184
Abstract
The approach of using a random matrix for extended object and group target tracking (EOT and GTT) is efficient. Designing and effectively applying this approach rely on modeling the extended object and group targets accurately. To describe complex dynamical variation and practical observation distortion of the extension in size, shape and orientation, two random matrix based models are proposed. True measurement noise can also be incorporated into the measurement model easily. Facilitated by special properties of the models, an approximate Bayesian approach is proposed to estimate the kinematic state and the extension jointly. For maneuvering EOT and GTT, a multiple-model approach is derived by moment matching. To evaluate what is proposed, simulation results of a scenario for maneuvering EOT are also given. The results illustrate the effectiveness of the proposed models and approach.
Keywords
Bayes methods; matrix algebra; target tracking; Bayesian approach; extended object tracking; group target tracking; kinematic state estimation; measurement model; measurement noise; moment matching; random matrix; Bayesian methods; Covariance matrix; Estimation; Noise; Noise measurement; Shape; Target tracking; Bayesian Approach; Extended Object; Group Target; Multiple-Model Approach; Random Matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4673-0417-7
Electronic_ISBN
978-0-9824438-4-2
Type
conf
Filename
6290568
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