一种基于机动辨识预测的空空导弹导引律

现有的空空导弹导引头在有噪声和干扰的环境下获得目标精确信息存在时间延迟,且新一代目标的机动能力更强,不对导弹加以补偿会造成较大脱靶量,所以需对目标状态有效预测。针对新一代目标规避空空导弹常用的大机动模式,为满足新一代空空导弹发展需求,设计了一种新型复合导引律。从目标自身出发,研究高机动目标规避导弹采用的典型机动形式,对机动轨迹进行离线建模,构建具有扩展能力的目标机动模型库。设计自适应滤波器对测量噪声进行降噪。同时,利用模型库设计了机动辨识预测器,对目标实际机动进行在线辨识。基于在线辨识的结果对目标机动进行预测,并对时间延迟进行补偿和修正,实现对高机动目标的精确打击。仿真结果表明:该方法对不同类型的机动目标均有较高的预测精度和命中精度。

Guidance Law for Air-to-Air Missile Based on Maneuver Identification and Prediction

For the existing target seeker of the air-to-air missile, it has time delay when obtaining the precise target information under noise and disturbance. Meanwhile, the evading ability of a new generation of targets is stronger, which will result in greater miss distance without compensation, therefore effective methods for target state prediction are needed. To satisfy the development of the new generation of air-to-air missiles, a new type of compound guidance law is designed against the common large maneuvering model of the fifth generation of fighters avoiding air-to-air missiles. Firstly, starting from the target, the maneuvers of agile target avoiding missiles are investigated, the maneuvering trajectory is modeled offline, and an extensible target maneuver model library is established. Then, an adaptive noise filter is designed to denoise the measurement noise. Meanwhile, a maneuver identifier is designed by utilizing the model library to identify the maneuver of the target online. Finally, the target maneuver is predicted based on the results of online identification, and the time delay is compensated and corrected. Thus, the precision attack of the agile air target is realized. The simulation results show that the proposed method has high prediction accuracy and hit accuracy for different types of target maneuver.