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Proceedings Paper

Nonlinear filter algorithm for opto-electronic target tracking
Author(s): Mao-tao Xiong; Jian-xun Song; Qin-zhang Wu
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Paper Abstract

At present in opto-electronic targets tracking, traditional accepted algorithms inevitably connect with linear errors. To improve the degraded performance of general algorithms, the Adaptive Unscented Particle Kalman Filter (AUPF) algorithm is proposed. The algorithm combines with Unscented Kalman Filter (UKF) to incorporate the most current observation datum and to generate the importance density function. Additionally, the Markov Chain Monte Carlo (MCMC) steps are adopted to counteract the problem of particles impoverishment caused by re-sampling step and thus the diversity of the particles is maintained. The AUPF algorithm reduces the nonlinear influence and improves the tracking accuracy of the opto-electronic targets tracking system. The analytic results of Monte Carlo simulation prove the AUPF algorithm is right and feasible, and it enhances the stability, the convergence rate and the accuracy of tracking system. The simulation results and algorithm provide a new approach for precise tracking of opto-electronic targets, they must have better applicative prospect in various engineering than the traditional tracking algorithms.

Paper Details

Date Published: 20 May 2009
PDF: 7 pages
Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72833K (20 May 2009); doi: 10.1117/12.828778
Show Author Affiliations
Mao-tao Xiong, Institute of Optics and Electronics (China)
Graduate School of the Chinese Academy of Sciences (China)
Jian-xun Song, Institute of Optics and Electronics (China)
Graduate School of the Chinese Academy of Sciences (China)
Qin-zhang Wu, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 7283:
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment

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