相控阵雷达和光电设备数据融合目标跟踪算法

Target Tracking Algorithm for Data Fusion of Phased Array Radar and Optoelectronic Equipment

相控阵雷达拥有全天时、全方位观测目标的突出优势,但对于低空小目标跟踪时,由于低空场景复杂以及多径效应等,跟踪精度不高;光电设备采用光进行目标的参数探测,抗干扰能力强,对于低空小目标测角精度高,但探测范围有限,且无法测距。本文提出一种融合跟踪处理方法,首先通过雷达抓取目标后,引导光电设备进行小范围捕捉跟踪;然后同时把两个通道的数据进行时空匹配,再进行基于数据融合的卡尔曼滤波处理。该方法充分利用两种传感器的互补优势进行基于数据融合的目标跟踪,仿真结果表明可达到更高精度的跟踪效果。

Phased array radar has the outstanding advantage of observing targets all day and in all direc-tions.However,for low altitude small target tracking,due to the complexity of low altitude scenes and mul-tipath effects,the tracking accuracy is poor.Optoelectronic equipment uses light for target detection,with strong anti-interference ability.It has high angle measurement accuracy for low altitude small target,but the detection range is limited and cannot be measured.This article proposes a fusion processing method as follow.First,capture the target through radar to guide the optoelectronic devices for small-scale capture and tracking;then,perform spatiotemporal matching on the data from both channels simultaneously,and finally perform Kalman filtering processing based on data fusion.This method fully utilizes the complementary advantages of the two sensors for data fusing-based target tracking,and simulation results indicates its capability of achieving higher precision tracking effect.