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Proceedings Paper

A target tracking method based on high-resolution radar photoelectronic image data fusion
Author(s): Wen-bo Su; Lin Qi; Ze-lin Shi
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Paper Abstract

A target tracking model and a technique for target tracking filtering based on sequential unscented Kalman filter are presented to improve target tracking performance of high resolution radar/infrared imaging sensor composite guidance system. Firstly, a measurement model for imaging sensor based of the centroid of the target is derived from images. Secondly, a measurement model for radar based of the centroid of the target is derived from traits of high resolution radar. Finally, the data fusion filtering framework for target tracking based on sequential unscented Kalman filter is presented. From the results of simulated experiments, average rate and target tracking accuracy of convergence for the technique developed are superior to those of other techniques. In conclusion, the target tracking model and filtering algorithm developed are proper for high resolution radar/infrared imagery sensor composite guidance system.

Paper Details

Date Published: 20 November 2014
PDF: 10 pages
Proc. SPIE 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications, 93001G (20 November 2014); doi: 10.1117/12.2072147
Show Author Affiliations
Wen-bo Su, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Key Lab. of Optical-Electronic Information Processing (China)
Lin Qi, Shenyang Institute of Automation (China)
Key Lab. of Optical-Electronic Information Processing (China)
Ze-lin Shi, Shenyang Institute of Automation (China)
Key Lab. of Optical-Electronic Information Processing (China)


Published in SPIE Proceedings Vol. 9300:
International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications
Mircea Guina; Haimei Gong; Zhichuan Niu; Jin Lu, Editor(s)

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