针对全捷联图像导引头中传感器刻度尺误差与动力学偏差引起的隔离度问题, 阐述了隔离度寄生回路产生的机理, 并提出在线辨识探测器及角速率陀螺刻度尺系数与补偿导引头动力学延迟的隔离度抑制方案。建立导引头“数字平台”的等效模型, 基于无迹卡尔曼滤波算法(UKF), 对传感器刻度尺系数以及真实弹目视线角速率进行辨识; 运用匹配滤波器补偿导引头探测器动力学滞后。最后进行数学仿真, 从稳定弹体飞行姿态与提升制导精度两个方面, 对各方案的可行性进行了论证。结果表明: UKF滤波算法与匹配滤波器可以有效地对隔离度进行抑制并提升制导系统性能。

According to the problem of disturbance rejection rate(DRR) within strapdown imaging seeker due to different scales and dynamic error between sensors of missile, the mechanism of DRR was expounded, and the methods of estimating the sensors′ scale factors and compensating the dynamic of seeker to inhibit the effect of DRR were proposed. Firstly, the "mathematics platform" of the seeker was established, and the unsented Kalman filter(UKF) to estimate the scale of sensors and line of sight rate was used, then matched filter to compensate the dynamic of seeker was applied. Finally, numerical simulations were performed to testify the effectiveness of the proposed methods on the aspects of missile body attitude stability and the guidance system accuracy. The simulation results indicated that DRR could be inhibited and the performance of the missile system is also improved after the filtering technique is applied.