Abstract: In order to solve the problems that the offline calibration precision is lower for the disturbance rejection rate(DRR) with strapdown seeker and can not inhibit the effect on guidance and control system effectively, an arithmetic was presented for online estimation and inhibition the DRR of strapdown seeker based on forced vibration, and the influence of parameter values on the results of estimation and inhibition was studied. Due to the defect that the arithmetic could be influenced severely by measurement noise, a solution was designed based on Kalman filter technique. The simulation results demonstrate that the estimation can be achieved effectively by the arithmetic for DRR with different scale-factor errors. And the effect of DRR on guidance and control system can be restrained by feedforward the estimation results.