张蒙,王海斌,张海如,汪俊,胡治国.基于粒子滤波的多普勒信息辅助目标定位跟踪算法[J].,2021,40(3):407-414 |
基于粒子滤波的多普勒信息辅助目标定位跟踪算法 |
Doppler information-assisted target tracking algorithm based on particle filter |
投稿时间:2020-07-09 修订日期:2021-04-29 |
中文摘要: |
多基地声纳探测系统主要通过测量回波的时延和方位信息进行目标定位与跟踪,定位精度受声速、时延和方位测量误差的影响较大,可以通过多普勒信息辅助进一步提高定位跟踪精度。现有的多普勒信息辅助定位跟踪算法多适用于单基地声纳系统,多基地中的多普勒测量值与目标状态的关系更为复杂,需要研究新的融合方法。本文提出了一种适用于多基地声纳系统的多普勒信息辅助采样重要性重采样目标定位跟踪算法,将多普勒信息融入到粒子滤波的重采样过程,使重采样后的粒子集合更逼近目标的真实状态分布,从而提高了目标定位跟踪精度。数值仿真实验结果表明,提出的目标定位跟踪算法可以有效融合多普勒信息,提升目标定位跟踪精度。 |
英文摘要: |
The multistatic active sonar system mainly locates and tracks the target by measuring the time delay and azimuth information of the echo. The locating accuracy is greatly affected by the error of sound speed, time delay and azimuth measurement, and can be further improved by Doppler information assistance. However, existing Doppler information-assisted locating and tracking algorithms are mostly suitable for monostatic sonar systems. The relationship between Doppler shift and target states in multistatic active sonar system is more complicated and new fusion methods are required. In this paper, the Doppler information assisted target locating and tracking method applicable to the multistatic sonar system is studied, and a Doppler information-assisted sampling importance resampling (SIR) target locating and tracking algorithm is proposed. The algorithm incorporates Doppler information into the resampling process of particle filter, so that the resampled particle set is closer to the true state distribution of the target, thereby improving the accuracy of target locating and tracking. The results of numerical simulation experiments show that the proposed algorithm can effectively fuse Doppler information to improve the target locating and tracking accuracy. |
DOI:10.11684/j.issn.1000-310X.2021.03.012 |
中文关键词: 多基地主动声纳,多普勒频移,粒子滤波,目标定位与跟踪 |
英文关键词: Multistatic active sonar, Doppler shift, Particle filter, Target locating and tracking |
基金项目: |
|
摘要点击次数: 1454 |
全文下载次数: 1306 |
查看全文
查看/发表评论 下载PDF阅读器 |
关闭 |