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
Link To Document :
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