借助特征线度的飞机被动定位研究

Research on Passive Location to Battleplane by Means of the Characteristic Linearity

介绍了一种在目标跟踪基础上借助图像序列中某些特征线度信息,及三维运动分析技术对飞机进行红外单站被动定位的新算法。该算法基于相邻图像帧之间目标特征点的匹配,然后提取具有旋转平移不变性的特征线度信息,结合成像目标的俯仰角和方位角的实时测量值,从而通过特定的定位方程估计出飞机相对测量站的距离变化量。在初始距离导引下,本算法可实现递推测距。研究表明它适用于匀速、匀加速和变加速等各种运动模型,具有定位精度高、体积小和便于机动的特点。该算法也可用于导弹的跟踪制导,有关原理与方法对可见光成像被动定位同样有效。

A novelty algorithm for infrared passive location to battleplane from mono-station is proposed, with three-dimension movement analysis, which has proceeds from certain characteristic linearity information in target image sequence. That characteristic dot matching is requested in each adjacent frame, then the characteristic linearity information which is invariable to rotation and shift is extracted, with the pitching and azimuth tested data, distance between target and the measurement platform can be turned out through specific equation. Under the guidance of the original distance, the range can be recurrently deduced. This approach is adapted to the motion models of invariable velocity, invariable accelerator and variable accelerator with some speciality such as high location precision, small cubage and convenient for movement. The algorithm can be used for missile guidance, the relative concept and approach is also available for visible light imaging system passive location from mono-station.