利用角度、角度变化率和ITG信息的主被动传感器数据关联

异类传感器数据关联是数据融合中的一个难点，综合利用角度和其他特征信息是改善异类传感器数据关联的一个重要途径。对于雷达在直角坐标系对目标进行跟踪、ESM传感器在修正的极坐标系对目标进行跟踪情况，本文综合利用角度、角度变化率和ITG(Inverse-Time-to-Go)信息，构建了新的关联统计量，并进行了计算机仿真。结果表明，本文给出的新关联统计量较之只利用角度和ITG信息的关联统计量有更好的关联性能。

Heterogeneous Sensor Data Association by Using Angle, Angle Rate and ITG Information

Heterogeneous sensor data association is a difficult problem in data fusion. Integrated utilization of angle and other feature information is a trend in the performance improvement of heterogeneous sensor data association. In the case when a radar operates in Cartesian coordinate and an ESM sensor operates in the modified polar coordinate, this paper constitutes a new association statistics based on the combination of angle, angle rate and ITG information. And simulation is made. The results show that the association performance of the proposed method is superior to that of the association statistics based on angle and ITG information.