| Using interacting multiple model particle filter to track airborne targets hidden in blind Doppler |
| |
| 作者姓名： | DU Shi-chuan SHI Zhi-guo ZANG Wei CHEN Kang-sheng |
| |
| 作者单位： | Department of Information and Electronic Engineering，Zhejiang University，Hangzhou 310027，China |
| |
| 基金项目： | Project supported by China Postdoctoral Science Foundation （No.20060400313）; partly by Zhejiang Postdoctoral Science Foundation of China （No. 2006-bsh-25） |
| |
| 摘 要： | In airborne tracking,the blind Doppler makes the target undetectable,resulting in tracking difficulties. In this paper,we studied most possible blind-Doppler cases and summed them up into two types:targets' intentional tangential flying to radar and unintentional flying with large tangential speed. We proposed an interacting multiple model(IMM) particle filter which combines a constant velocity model and an acceleration model to handle maneuvering motions. We compared the IMM particle filter with a previous particle filter solution. Simulation results showed that the IMM particle filter outperforms the method in previous works in terms of tracking accuracy and continuity.
|
| 关 键 词： | 盲多普勒 相互作用多重模型 微粒滤波器 目标跟踪 |
| 收稿时间： | 1 March 2007 |
| 修稿时间： | 2007-03-012007-06-18 |
Using interacting multiple model particle filter to track airborne targets hidden in blind Doppler |
| |
| DU Shi-chuan SHI Zhi-guo ZANG Wei CHEN Kang-sheng.Using interacting multiple model particle filter to track airborne targets hidden in blind Doppler[J].Journal of Zhejiang University Science,2007,8(8):1277-1282. |
| |
| Authors: | Du Shi-chuan Shi Zhi-guo Zang Wei Chen Kang-sheng |
| |
| Institution: | (1) Department of Information and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China |
| |
| Abstract: | In airborne tracking, the blind Doppler makes the target undetectable, resulting in tracking difficulties. In this paper,
we studied most possible blind-Doppler cases and summed them up into two types: targets’ intentional tangential flying to
radar and unintentional flying with large tangential speed. We proposed an interacting multiple model (IMM) particle filter
which combines a constant velocity model and an acceleration model to handle maneuvering motions. We compared the IMM particle
filter with a previous particle filter solution. Simulation results showed that the IMM particle filter outperforms the method
in previous works in terms of tracking accuracy and continuity.
Project supported by China Postdoctoral Science Foundation (No. 20060400313) and partly by Zhejiang Postdoctoral Science Foundation
of China (No. 2006-bsh-25) |
| |
| Keywords: | Interacting multiple model Particle filter Blind Doppler |
| 本文献已被 CNKI 维普 SpringerLink 等数据库收录！ |
