Adaptive RFI Suppression Algorithm Based on CEMD for SAR Data

This paper proposes a novel adaptive filtering method based on complex empirical mode decomposition (CEMD) for narrowband radio frequency interference (RFI) suppression applied to SAR. This method decomposes the RFI contaminated signal into a finite and often small number of Intrinsic Mode Function (IMF). The sum of some selected IMF components is taken as reference input of adaptive filter based on the characteristics of CEMD. Experiment results show that CEMD provides an effective way to obtain reference input. The proposed method can effectively subtract RFI component from the RFI contaminated signal, which is the primary input of the adaptive interference canceller. The point-target simulation is used to show the working principle of the proposed algorithm. Experimental results based on SAR real data are also shown to verify the proposed algorithm.