| Nonlinear filter algorithm for opto-electronic target tracking | |
| Xiong Mao-Tao; Song Jian-Xun; Wu Qin-Zhanga | |
| Volume | 7383 |
| 2009 | |
| Language | 英语 |
| Indexed By | Ei |
| Subtype | 会议论文 |
| 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.; 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. |
| Conference Name | Proceedings of SPIE |
| Conference Date | 2009 |
| Document Type | 会议论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/7511 |
| Collection | 光电测控技术研究室（三室） |
| Corresponding Author | Xiong Mao-Tao |
| Affiliation | 中国科学院光电技术研究所 |
| Recommended Citation GB/T 7714 | Xiong Mao-Tao,Song Jian-Xun,Wu Qin-Zhanga. Nonlinear filter algorithm for opto-electronic target tracking[C],2009. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2009-181.pdf（300KB） | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text | ||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment