摘要
针对战场目标跟踪中雷达获得的目标角度精度低的问题,引入了高精度的红外方位探测信息进行关联,用以修正融合航迹点的方位角;建立了基于坐标变换和自适应α-β滤波的数据关联快速算法模型;进行了模拟战场实际目标的仿真试验。仿真结果显示:雷达与红外数据关联融合后,目标方位角和俯仰角的最大误差分别为6 mrad和5 mrad。表明该算法充分利用了红外与雷达的互补性,能很好地跟踪目标,达到了降低目标航迹的方位角和俯仰角跟踪误差的目的,使航迹状态估计更加精确。
View of the problem that the precision of targets gained by radar is low, azimuth gained by infrared sensor with high precision is introduced to improve azimuth precision of targets fused. In addition, FAFDA model based on adaptive a-β filter and coordinates transfomation is established. Simulation experiment for targets simulated in battlefield is conducted. Experimental result indicates that the most azimuth error is 6 mrad and the most pitching error is 5 mrad based on fusion data, which validates that the algorithm can real-time track targets. This algorithm makes good use of merits between radar and infrared sensor to reduee rapidly the azimuth error of targets fused.
出处
《青岛大学学报（工程技术版）》
CAS
2008年第2期32-36,共5页
Journal of Qingdao University(Engineering & Technology Edition)
关键词
目标跟踪
信息融合
仿真
targets tracking
information fusion
simulation
