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题名:
Nonlinear filter algorithm for opto-electronic target tracking
作者: Xiong Mao-Tao; Song Jian-Xun; Wu Qin-Zhanga
出版日期: 2009
会议名称: Proceedings of SPIE
会议日期: 2009
通讯作者: Xiong Mao-Tao
中文摘要: 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.
英文摘要: 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.
收录类别: Ei
语种: 英语
卷号: 7383
文章类型: 会议论文
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7511
Appears in Collections:光电探测技术研究室(三室)_会议论文

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作者单位: 中国科学院光电技术研究所

Recommended Citation:
Xiong Mao-Tao,Song Jian-Xun,Wu Qin-Zhanga. Nonlinear filter algorithm for opto-electronic target tracking[C]. 见:Proceedings of SPIE. 2009.
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