Suppression of narrow-band interference in SAR data

Narrow-band interference (NBI) poses a hindrance to high quality imaging for synthetic aperture radar (SAR). In this paper, we addressed the NBI suppression problem by introducing two advanced techniques: the complex empirical mode decomposition (CEMD) and the independent component analysis (ICA). Both of these two methods utilize the statistical difference between the useful radar echoes and NBI. They decompose the contaminated pulse into some basis signals, and select out the basis that corresponding to NBI. Then the contribution of NBI is excised by filtering out the corresponding NBI components. We compare the performance of these advanced methods with the conventional notching filtering method. The experimental results of the real dataset show the effectiveness of the proposed methods.