IOE OpenIR  > 光电测控技术研究室(三室)
Nonlinear filter algorithm for opto-electronic target tracking
Xiong Mao-Tao; Song Jian-Xun; Wu Qin-Zhanga
Volume7383
2009
Language英语
Indexed ByEi
Subtype会议论文
AbstractAt 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 NameProceedings of SPIE
Conference Date2009
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7511
Collection光电测控技术研究室(三室)
Corresponding AuthorXiong 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-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xiong Mao-Tao]'s Articles
[Song Jian-Xun]'s Articles
[Wu Qin-Zhanga]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xiong Mao-Tao]'s Articles
[Song Jian-Xun]'s Articles
[Wu Qin-Zhanga]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xiong Mao-Tao]'s Articles
[Song Jian-Xun]'s Articles
[Wu Qin-Zhanga]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.