图像辅助的机动目标被动跟踪

Passive tracking of maneuvering target with image aiding

针对红外成像制导短程空空导弹进行机动目标被动跟踪的问题,提出了一种利用导引头的图像信息进行机动目标跟踪的新方法,目的在于提高跟踪速度、减小跟踪误差。图像信息与反映目标运动状态的姿态信息紧密相关,通过图像信息辅助缩短对机动模型进行判决的时间,而且能够很快适应目标机动下的运动模型,加快了跟踪机动的速度,减小了跟踪误差。通过模型集自适应减小了计算量,同时提高了跟踪的精度。开发了一套六自由度目标模型的红外成像空空导弹仿真系统。利用两种典型的空战遭遇的场景,对算法进行评估,仿真结果表明该方法显著提高了机动跟踪的性能。

According to the problem of infrared imaging guidance short-range air to air missile tracking maneuvering target passively, a new method which could improve tracking speed and reduce tracking error was put forward by using the image information of seeker to track maneuvering target. The image information was closely related to the attitude information reflecting the state of motion target. As shortening the time of judging maneuvering model with image information, the motion model of the maneuvering target could be adapted quickly, the speed of maneuvering tracking could be improved greatly, and the tracking error could be reduced as well. The method reduced the amount of calculation and improved the tracking precision through the model collection. In order to meet the demand of studying, a set of simulation system named six degrees of freedom goal model of infrared imaging of air to air missile was developed. The method was estimated by using two typical air combat encounters scene in the simulation. The results show that the method greatly improves the performance of maneuvering target tracking