| 基于重要性重采样粒子滤波器的机动目标跟踪方法 |
| |
| 引用本文： | 刘维亭,戴晓强,朱志宇.基于重要性重采样粒子滤波器的机动目标跟踪方法[J].江苏科技大学学报(社会科学版),2007,21(1):37-41. |
| |
| 作者姓名： | 刘维亭 戴晓强 朱志宇 |
| |
| 作者单位： | 江苏科技大学电子信息学院 镇江212003 |
| |
| 摘 要： | 采用重要性重采样技术改进了标准粒子滤波算法,通过设定有效采样尺度来减少权值较小的粒子数目,在一定程度上克服了退化现象。仿真结果表明,采用PF跟踪机动目标,其跟踪精度要高于IMM,说明PF具有较强的处理非线性系统的能力;对标准PF采用重要性重采样策略后,PF的跟踪精度和平稳性都得到了进一步改善。
|
| 关 键 词： | 粒子滤波器 机动目标跟踪 非线性 重采样 |
| 文章编号： | 1673-4807(2007)01-0037-05 |
| 修稿时间： | 2006年4月7日 |
Maneuver Target Tracking Based on Importance Resampling Particle Filter |
| |
| LIU Weiting,DAI Xiaoqiang,ZHU Zhiyu.Maneuver Target Tracking Based on Importance Resampling Particle Filter[J].Journal of Jiangsu University of Science and Technology:Natural Science Edition,2007,21(1):37-41. |
| |
| Authors: | LIU Weiting DAI Xiaoqiang ZHU Zhiyu |
| |
| Abstract: | Importance resampling strategy is adopted to improve the standard PF algorithm.The particle number is reduced through the setting of a valid sample scale.The degeneracy problem of particle filter(PF) is overcome to some extent.Simulation results indicate that PF has higher precision than IMM in the application of maneuver target tracking.It means that PF has a strong ability to deal with the nonlinear system,and the tracking precision and the stability of PF are further improved after applying the adaptive resampling strategy to PF. |
| |
| Keywords: | particle filter maneuver target tracking nonlinear resampling |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
