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本文介绍了空对空跟踪情况下估计强机动飞机目标运动的一种新方案。研制了一种相互作用滤波器系统,该系统根据目标视线角数据,通过调节运动状态滤波器的估值,提供改善了的目标运动状态估值。设想以与光电跟踪器一起使用的图形识别技术来提供目标的方向信息。目标定向滤波器通过用当前目标运动的最佳估值对测得的视线角进行统计加权来处理视线角的观测值。应用空气动力学升力方程来建立近似攻击角与目标速度和加速度的关系,也研究了飞机目标法向加速度的新颖统计模型,以便更好地表示未知目标的加速度。为评价相互作用滤波器系统的性能,还提供了真实三维情况的仿真结果。
This paper presents a new scheme for estimating the target motions of a strong maneuver aircraft in the case of air-to-air tracking. An interaction filter system has been developed that provides an improved estimation of the target’s motion state by adjusting the estimation of the motion state filter based on the target view angle data. Imagine the pattern recognition technology used with the electro-optical tracker to provide the target’s directional information. The target directional filter processes the line-of-sight observations by statistically weighting the measured line-of-sight with the best estimate of the current target’s motion. The aerodynamic lift equation is used to establish the relationship between the attack angle and the target velocity and acceleration. A new statistical model of the target normal acceleration of the aircraft is also studied to better represent the acceleration of the unknown target. In order to evaluate the performance of the interaction filter system, simulation results of the real three-dimensional situation are also provided.