自适应低空机动目标角跟踪算法

Adaptive Angle Tracking Algorithm for Low Altitude Maneuvering Target

在现代战争中,空中目标的低空作战方式严重威胁了地面的作战单位。针对轻型防空武器系统,提出了一种基于角度的跟踪算法,对低空机动目标的飞行特性进行分析,采用"当前"统计模型,利用扩展卡尔曼滤波理论,同时通过最小均方算法对机动频率进行自适应调整,实现了对目标的角跟踪和预测。仿真结果表明,与固定机动频率的角跟踪算法相比,该角跟踪算法具有更好的跟踪性能,误差明显减小,并且该算法具有计算速度快、稳定性好等特点。

In the modern war,the low-level mode of operations of the maneuvering target seriously threatens the combat units on the ground. For the light air defense weapon system,this paper proposes a tracking algorithm based on the angle. The flight characteristics of the maneuvering target are analyzed. The ＂current＂ statistical model and the extended Calman filter are used to realize the angle tracking and prediction,and adjust the maneuvering frequency adaptively by the least mean square algorithm. The simulation results show that compared with the fixed maneuvering frequency angle tracking algorithm,the angle tracking algorithm has better tracking performance and less error,and the algorithm has the advantages of fast computation speed and good stability.