摘要
针对自寻的反坦克导弹的红外导引头由于受复杂背景和随机干扰影响测角精度不高的问题,提出了一种惯导信息辅助的无迹卡尔曼滤波方法;利用惯导信息描述导弹自身的运动,基于弹目信息状态变量构建弹且相对运动模型,采用无迹卡尔曼滤波方法实现对导引头量测误差的抑制;该方法实现了导引头量测信息与惯导信息的融合,充分利用信息资源,抑制导引头量测误差,提高了导弹的打击精度,仿真实验证明了该方法的有效性。
In order to enhance the angle measurement accuracy in infrared seeker of homing anti--tank missile restrained by complicated background and random interference, a novel unscented kalman filter （UKF） using Inertial Navigation System （INS） information is proposed in this paper. The missile--to--target motion model is built by the relative state vector, while the missile motion is modeled by INS information, and then the seeker random measurement error is suppressed by the novel UKF. The approach makes the information merging of seeker measurement and INS information come true, and it can take full advantage of information resources to suppress the measurement error and enhance the missile strike precision. The simulation proves the method is effective.
出处
《计算机测量与控制》
2015年第6期2030-2032,2036,共4页
Computer Measurement &Control
