Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8578
Title: A dual adaptive model estimator for target tracking
Authors: Li, CK
Tao, T
Dai, X
Keywords: Adaptive estimation
State estimation
Target tracking
Issue Date: 2003
Publisher: IEEE
Source: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : April 6-10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong, v. 6, p. VI53-VI56 How to cite?
Abstract: The unknown maneuvers of targets are analyzed and divided into four modes. They are the -maneuver, critical maneuver, weak maneuver and strong maneuver modes. Based on this division, a new adaptive target state estimator is proposed. This estimator consists of a 2nd order adaptive model for maneuver-detection and a 3rd order adaptive model for maneuver-level estimation. This proposed estimator is used to track five different basic target motions. Monte-Carlo simulation is used to study the performance of the proposed estimator and results show that the estimator gives excellent performance.
URI: http://hdl.handle.net/10397/8578
ISBN: 0-7803-7663-3
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2003.1201616
Appears in Collections:Conference Paper

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