Identification and inhibition method for disturbance rejection rate of strapdown imaging guidance seeker

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.