无源定位跟踪中野值的检测与剔除方法  

Method of Detecting and Rejecting Outliers in Passive Locating and Tracking

作　　者：杨军玲[1] 

机构地区：[1]西安电子科技大学电子工程学院,陕西西安710071

出　　处：《电子科技》2016年第6期51-53,共3页Electronic Science and Technology

摘　　要：针对无源定位跟踪中野值的出现会降低滤波的可靠性和稳定性问题,结合新息似然的概念提出了一种基于似然的野值检测与剔除方法。通过计算卡尔曼滤波更新中得到的似然值,设定门限,以达到野值的检测与剔除的目的。仿真结果表明,该算法有效地处理了野值对定位跟踪精度的影响,使得目标定位跟踪精度有了较大的提高。In passive locating and tracking system,the emergence of outlier has a bad influence in both the stability and the precision of the filtering. In order to solve this problem,a method for the outlier detection and elimination based the conception of innovation likelihood is proposed. Given a threshold,the innovation likelihood is calculated in the update of the Kalman filter to aim at the detection and elimination of the outlier. The proposed algorithm plays a good performance in passive locating and tracking system with outlier.

关 键 词：定位跟踪 野值 新息似然 卡尔曼滤波 

分 类 号：TN953[电子电信—信号与信息处理]