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首页> 外文会议>2011 IEEE International Conference on Information and Automation >Research on algorithm of counter target lost for Maneuvering Reentry Vehicle using Infrared imaging terminal guidance
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Research on algorithm of counter target lost for Maneuvering Reentry Vehicle using Infrared imaging terminal guidance

机译：基于红外成像终端制导的机动再入飞行器对抗目标丢失算法研究

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摘要

Maneuvering Reentry Vehicle using Infrared(IR) imaging terminal guidance is vulnerable to interference which cause the seeker lost target. According to this problem, first, this paper presents a new counter target lost Algorithm which combined extended state variable dimension passive location based on Extended Kalman Filter(EKF) and virtual guidance method to rebuild guidance information. Then the passive location accuracy of extended state variable dimension EKF and normal EKF algorithm is compared throughout simulation, at last, guidance accuracy of fore mentioned two algorithm and acceleration command memory algorithm are compared by circular error probable(CEP) simulation which based on six degree of freedom (6DoF) guidance and control model. Simulation results show the validity of the algorithm presented in this paper.
机译：使用红外（IR）成像终端制导的机动再入飞行器容易受到干扰，从而导致搜寻器失去目标。针对这一问题，本文首先提出了一种新的反目标丢失算法，该算法结合了基于扩展卡尔曼滤波器（EKF）的扩展状态可变维被动定位和虚拟制导方法，重建了制导信息。然后在整个仿真过程中比较了扩展状态可变维数EKF和常规EKF算法的被动定位精度，最后，通过基于六度的圆误差概率（CEP）仿真，比较了上述两种算法和加速度指令存储算法的制导精度。自由度（6DoF）指导和控制模型。仿真结果表明了该算法的有效性。

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