惯导速度信息辅助的被动雷达导引头量测误差抑制方法  

Error Suppressing in Passive Radar Seeker Using Velocity Measurement of Inertial Navigation System

作　　者：刘义[1] 赵晶[1] 董鸿燕[2] 冯德军[1] 王国玉[1] 

机构地区：[1]国防科技大学电子科学与工程学院,湖南长沙410073 [2]武汉通信指挥学院信息作战系,湖北武汉430010

出　　处：《国防科技大学学报》2010年第2期109-113,共5页Journal of National University of Defense Technology

摘　　要：针对被动雷达导引头由于受空间限制测角精度不高的问题,提出了一种基于弹目信息状态变量的扩展卡尔曼滤波方法。通过弹目信息状态变量(弹目距离、弹目视线方位角、弹目视线俯仰角)描述弹目相对位置信息,利用惯导速度信息构建基于弹目信息状态变量变化率的弹目相对运动模型。所提方法充分利用信息资源,抑制导引头量测随机误差,对于提高导弹的打击精度和攻击效果,具有重要的实际应用价值,仿真试验证明该算法的有效性。In order to enhance the angle measurement accuracy in passive radar seeker （PRS） restrained by weight volume, a novel Extended Kalman Filter （EKF） using missile-to-target relative state is proposed in this paper. Missile-to-target relative position was described by several relative state variables, including range, line-of-sight azimuth and elevation angie. Missile-to-target relative motion model was then established by using velocity measurement of Inertial Navigation system （INS）. This approach can fully take advantage of onboard INS information, thus offering favorable PRS measuring error suppressing. It has practical application in enhancing missile strike precision, attacking performance as well as the ability of anti-target losing. The approach propesed is validated by the simulation in a representative scenario.

关 键 词：扩展卡尔曼滤波 弹目信息 捷联惯导系统 运动模型 

分 类 号：TN911[电子电信—通信与信息系统]