Abstract:

While intercepting a highly maneuvering target, the interceptor has trouble in filtering the signal measured by the seeker due to the reason that the angular rate of the interceptor’s sight line changes irregularly and nonlinearly. Therefore a novel de-noising approach, the empirical mode decomposition-Kalman filtering (EMDKF) method, is proposed to solve this problem. This method which synthesizes the merits of both EMD and Kalman filtering, can filter the nonlinear signals adaptively while attenuating the end effect of EMD by  applying Kalman estimation. Simulation results indicate that the proposed method has an adaptive filtering performance for the strongly nonlinear angular rate signal of the interceptor’s sight line.