摘要
针对机动辐射源的单站被动跟踪初始估计误差大,可观测性弱,并且可以得到观测量有限的问题,提出了一种利用多普勒频率变化率和角度对机动辐射源进行跟踪的UKF-IMM算法。将其和传统推广卡尔曼滤波交互多模型(EKF-IMM)方法进行了仿真比较,结果表明,UKF-IMM方法增强了EKF-IMM的滤波稳定性,提高了滤波收敛速度和跟踪精度。
Maneuvering target tracking is very intractable for the single observer passive location and tracking application, which often suffers large initial estimation error. To tackle the problem of tracking a maneuvering emitter by a single passive observer, an algorithm of UKFqMM（unscented Kalman filter-lnter- acting multiple model） using Doppler frequency changing rate and angle measurements is proposed. Comput er simulations are conducted to compare the unscented Kalman filter-interacting multiple model（UKF-IMM） with the traditional extended Kalman filter-interacting multiple model （EKF-IMM）. Simulation results show that the proposed method is more stable and effective, and can improve the convergence speed and tracking precision.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2007年第1期5-8,共4页
Systems Engineering and Electronics
基金
国防科技重点实验室基金资助课题(9140C1011010601)
关键词
机动跟踪
无源定位
多普勒频率
交互多模型
maneuvering tracking
passive location
Doppler frequency
interacting multiple model
