| 题名: | Nonlinear filter algorithm for opto-electronic target tracking |
| 作者: | Xiong Mao-Tao; Song Jian-Xun; Wu Qin-Zhanga
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| 出版日期: | 2009
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| 会议名称: | Proceedings of SPIE
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| 会议日期: | 2009
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| 通讯作者: | Xiong Mao-Tao
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| 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
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| 语种: | 英语
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| 卷号: | 7383
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| 文章类型: | 会议论文
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| 内容类型: | 会议论文
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| URI标识: | http://ir.ioe.ac.cn/handle/181551/7511
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| Appears in Collections: | 光电探测技术研究室（三室）_会议论文
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| 2009-181.pdf（300KB） | 会议论文 | -- | 限制开放 | | View
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| 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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