基于自适应递推算法的空中目标轨迹预测

Trajectory Prediction of Air Target Based on Adaptive Recursive Algorithm

在空中目标丢失的情况下,雷达系统无法探测到目标的位置,无法实现对目标的自动跟踪。采用自适应递推算法,根据已知的目标位置信息推算出下一时刻目标的预测位置,雷达系统以预测位置来跟踪目标。对目标的三种典型运行轨迹进行仿真分析,预测轨迹具有收敛速度快、误差值小的特点,有效提高了跟踪的精度和抗干扰能力,改进了雷达的探测性能。

When air target is lost,radar system can not detect the position of the target and implement the automatic tracking of the target.In this paper adaptive recursive algorithm is used to calculate the predicted position of the target at the next time according to the known target position information,and the radar tracks the target by the predicted position.Three typical trajectories of the target are simulated and analyzed.The predicted trajectories have the characteristics of fast convergence speed and small error value,which effectively improves the tracking accuracy and anti-jamming ability,and improves the detection performance of the radar.