摘要
目标跟踪算法是主动防护系统控制算法中的核心部分,由于主动防护系统对目标跟踪精度和收敛性要求都较高,常用目标跟踪算法很难达到两者兼顾.在此提出基于比例对称采样策略的UKF算法,并引入雷达径向速度量测信息,对算法进行改进.通过MATLAB,对EKF和DCMKF这两种典型非线性滤波算法进行Monte Carlo仿真对比,验证了该系统采用SUKFR算法的合理性,以及径向速度量测的引入能够显著提高目标跟踪精度与收敛性.对主动防护系统实际研究与开发具有一定促进作用.
The target tracking algorithm is the core part of the control algorithm in active protection system.Since the active protection system has high requirements on target tracking accuracy and convergence,it is difficult to achieve both goals by the common target tracking algorithm.A UKF algorithm based on proportional symmetric sampling strategy is proposed,and radar radial velocity measurement is introduced to improve the algorithm.The comparison with EKF and DCMKF these two typical nonlinear filtering algorithms by Monte Carlo simulation of MATLAB verified that it's reasonable to adopt SUKFR algorithm in this system and the introduction of radial velocity measurement can significantly improve the accuracy and convergence of the target tracking.It makes a certain promotion effect on the research and development of active protection system.
作者
孙金雯
陈曦
杜忠华
陆谦
许国杰
SUN Jinwen;CHEN Xi;DU Zhonghua;LU Qian;Xu Guojie(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)
出处
《测试技术学报》
2018年第6期468-474,共7页
Journal of Test and Measurement Technology
基金
中央高校基础科研业务费专项资金资助项目(30915012201
30915118820
30915118801)
关键词
主动防护
目标跟踪
UKF
比例对称采样
径向速度量测
active protection
target tracking
unscented kalman filtering(UKF)
scale symmetry sampling
radial velocity measurement
