自适应广义卡尔曼滤波器在反辐射导弹中的应用

Application of Adaptive Extended Kalman Filter to Antiradiation Missile

抗目标辐射源关机的能力是反辐射导弹的关键战术技术性能之一，采用增广状态的广义卡尔曼滤波（EKF）与Sage－Husa自适应滤波相结合的方法，解决了在被动雷达导引头测量存在常值偏差和随机噪声，且随机噪声方差未知情况下所测角度的滤波问题，从而在目标辐射源关机时刻较精确地建立起目标视线在惯导坐标系中的方位坐标（简称惯性基准），进而利用速度追踪法导引导弹攻击目标。给出了以某型导弹为背景的全空间弹道数学仿真结果。

One Key index of tactical characteristics for an antiradiation missile (ARM) is its ability against target radar cutoff. A sage - Husa adaptive extended kalman filter (EKF)has been proposed to solve this issue. through the proposed filter, the estimation of real measurement for the passive radar seeker has been obtained successfully even under the unknown biases and unknown random noise covariance. In this case, the bearing coordinate of LOS in inertial system have been built up when the target radar stops radiating. The velocity pursue guidance law has been used for steering missile to attack target. At last, 6DOF trajectory mathematical simulation with certain missile as background has been carried out.