基于自动加权法的扩展卡尔曼滤波数据融合算法研究  

Research on extended Kalman filter data fusion algorithm based on automatic weighting method

作　　者：尹建军 陈涛 岳海燕 Yin Jianjun;Chen Tao;Yue Haiyan(Electronics Group Co.,Ltd.,Chengdu 611731,China)

机构地区：[1]零八一电子集团有限公司,四川成都611731

出　　处：《无线互联科技》2022年第18期139-141,共3页Wireless Internet Technology

摘　　要：在雷达组网系统的数据融合过程中使用扩展卡尔曼滤波容易出现发散现象。文章针对扩展卡尔曼滤波器发散的难题,提出了一种基于自动加权法抑制扩展卡尔曼滤波发散的新思路。首先利用自动加权法判断出扩展卡尔曼滤波器是否发散;然后根据判断结果对扩展卡尔曼滤波器进行相应的处理。从而减少扩展卡尔曼滤波器发散对滤波估计的影响,大大地提高数据融合算法中扩展卡尔曼滤波器的精度,使算法能更好地完成雷达组网的数据融合功能。Using extended Kalman filtering in the data fusion process of radar network system is prone to divergence.For the problem of the extended Kalman filter divergence,this paper proposes a new idea to suppress the divergence of the extended Kalman filter.Firstly,the automatic weighting method is used to determine whether the extended Kalman filter diverges,and then to evaluate the judgment result accordingly.Thus reduce the impact of extended Kalman filter divergence on filter estimation,greatly improve the accuracy of extended Kalman filter in the data fusion algorithm,so that the algorithm can better complete the data fusion function of radar network.

关 键 词：雷达组网系统 数据融合 扩展卡尔曼滤波 自动加权法 

分 类 号：TN713[电子电信—电路与系统] TN957