Eigen-Decomposition Method for RFI Suppression Applied to SAR Data

This paper proposes a novel eigen-decomposition method for narrowband radio frequency interference suppression for SAR. This method decomposes the eigenvectors of the RFI contaminated signal into interference subspace and signal-plus-noise subspace. The orthogonality of the two subspaces is used to suppress the RFI signals. Compared with the existing algorithms in previous literatures, the proposed method is more computationally efficient with satisfactory suppression results. Further more, this algorithm will neither estimate nor need the prior knowledge of the parameters of the interference signals. 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.