A decoupled maneuvering target tracking algorithm for practical applications

A parallel algorithm is proposed to decouple the Kalman filter into three Cartesian coordinates for maneuvering target tracking in this paper. Converted measurement noise covariance matrix is decoupled so that IMM estimator can work separately. Compared with classical coupled tracking algorithm, our...

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Bibliographic Details
Main Authors: Shicang Zhang, Jianxun Li, Liangbin Wu
Format: Conference Proceeding
Language:English
Subjects:
Aerospace electronics
Algorithm design and analysis
Automation
Covariance matrix
Filters
Gaussian noise
Noise measurement
Radar tracking
Sonar navigation
Target tracking
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Description
Summary:A parallel algorithm is proposed to decouple the Kalman filter into three Cartesian coordinates for maneuvering target tracking in this paper. Converted measurement noise covariance matrix is decoupled so that IMM estimator can work separately. Compared with classical coupled tracking algorithm, our algorithm can save computing resources, and the tracking performance is improved due to the algorithm's design to separate influence among three Cartesian coordinates. Monte Carlo simulation results show that the proposed three Cartesian coordinate decoupled algorithm outperforms three Cartesian coordinate coupled algorithm in tracking maneuvering target.
ISSN:1948-3449
1948-3457
DOI:10.1109/ICCA.2010.5524134