修正增益卡尔曼滤波算法在被动测距问题中的应用

The Application of MEKF Algorithm to Passive Telemeter

在采用被动导引头的导弹突防过程中,准确并及时地得到自身距离拦截器的距离信息,是制定导弹突防策略的关键。针对采用红外成像装置作为测量手段的飞行体,研究了利用红外成像装置观测空中运动目标所获得的目标视线角信息,采用修正增益卡尔曼滤波算法从目标视线角信息中提取出一定精度的飞行体至目标的距离信息的被动测距问题。文中给出了四种不同计算工况下的仿真结果曲线。仿真算例验证了被动测距方法的有效性,证明了载体进行机动有助于被动测距精度的提高。

The distance from the missile to the target is one of the most important information for the passive guide missile break throng the blocker. For the flyers that adopt infrared imaging equipment as measure instrument, the problem of Passive telemeter is studied. Using the algorithm of modify gain extended Kalman filter, the information of the distance from the flyer to target can be obtained from the flyer＇ s line of sight angles measured by the on-board infrared imagine equipment. The simulation results prove the validity of the method and the maneuverability of flyer is the key of improve the precision.