基于IMM-UKF的主/被动雷达融合算法  

IMM Data Fusion Algorithm for Active/Passive Radars Based on UKF

作　　者：赵域[1] 张剑云[1] 毛云祥[1] 

机构地区：[1]电子工程学院,合肥230037

出　　处：《电子信息对抗技术》2011年第4期21-25,共5页Electronic Information Warfare Technology

摘　　要：在主/被动雷达双传感器目标跟踪背景下,提出一种基于IMM-UKF滤波的加权数据融合算法。该算法采用UKF对观测数据进行滤波估计,避免了计算雅克比矩阵,克服EKF滤波方法受滤波初值影响大、易发散的缺点。与单一传感器进行仿真比较,结果表明该算法可以比任一单传感器滤波精度高,稳定性更好。A data fusion algorithm using IMM-UKF is presented based on active/passive radar target tracking.The algorithm is established in terms of IMM（interacting multiple model） and UKF（unscented Kalman filter）.UKF is introduced to obtain the state estimation to avoid the EKF＇s disadvantage of dependence on initial value and divergence.Compared with single sensor,it is shown that the approach possesses better stability and higher locating precision.

关 键 词：主/被动雷达 UKF滤波 数据融合 机动目标跟踪 交互式多模 

分 类 号：TN971.3[电子电信—信号与信息处理]