IRST系统的单站机动目标跟踪算法研究

在传统的IRST（红外搜索与跟踪）系统的角测量基础上,增加了红外探测器对目标红外辐射的响应信息这一测量项,且将相邻两次测量的目标红外光谱辐射功率之比作为伪测量,以消除目标红外光谱辐射强度不确定所产生的影响,并由此构造了机动目标跟踪的IMM（交互多模型）算法. 通过跟踪一个高机动目标的仿真过程,对算法性能进行了检验.仿真结果表明:当测量误差较小时,误差的变化对跟踪精度的影响不大,整个跟踪过程中,单个坐标轴上的均方差不超过7 m,而且,大多数时刻上的均方误差不超过3 m;当测量误差较大时,近距离（航迹前段和中段）的跟踪精度也是很高的,单个坐标轴上的均方差不超过5 m,但是,远距离的跟踪精度下降很快,最大误差达到110 m;速度误差与位置误差也有类似的结果.

A Method of Maneuvering Target Tracking with IRSTS

The infrared radiation power of the target received by IRSTS is introduced to target tracking for this bearings-only measurements system With the ratio of the two serial measurements of the infrared radiation power of the target, which eliminated the disadvantage of the uncertainty of the radiation intensity of the target,an IMM(interacting multiple model) algorithm is put forward. The performance of the algorithm is verified by simulating a highly maneuvering target tracking. The results show that when the measurement RMS error is small, it has little influence on the performance of the tracking in the whole trajectory of the tracking.The RMS position error of single coordinate axis is less than 7 m, furthermore,the most of it is less than 3 m; when the measurement RMS is large, the performance of the tracking is better at the near distance, where the RMS position error of single coordinate axis is less than 5 m, but it becomes worse rapidly at far distance.The largest RMS position error reaches 110 m. The RMS speed error has the similar results to the RMS position error.