摘要
针对杂波(虚假量测)环境下的目标无源跟踪问题进行了研究,并给出了只测角情况下相应的跟踪算法。该算法在利用修正增益扩展卡尔曼滤波(modified gain extended Kalman filter,MGEKF)对目标进行无源纯方位跟踪的同时,通过建立波门对不同时刻的测量数据进行选择,然后利用角度测量数据计算落入波门内的有效测量数据的概率(包括波门内所有有效量测均为虚假量测的概率和第i个有效回波是正确的概率),并以这些概率值作为权值对目标状态进行加权融合,实现杂波环境下对目标的实时纯方位无源跟踪。同时,仿真分析对文中所提算法的可行性和有效性进行了验证。
The passive tracking algorithm of a target in the presence of clutter （false detections） is studied. The feasibility of modified gain extended Kalman filter （MGEKF） using angle-only measurements is explored for clutter environment, and a new method is proposed. The bearing measurements are selected through validation region, and the association probabilities of the bearing measurements in the validation region are calculated, which includes the probability of the event that all measurements are false, and the probability of the event that the ith measurement is due to the target. The validated measurements are associated probabilistically to the target. The target state estimate at each sampling time is obtained by the proposed method. The simulation results reveal the feasibility and validity of the algorithm.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第2期227-230,共4页
Systems Engineering and Electronics
基金
"泰山学者"建设工程专项经费资助课题
关键词
纯方位
杂泼
无源跟踪
bearing-only measurement
clutter
passive tracking
