Title :
RFI suppression in SAR based on clutter estimation
Author :
Huan Wang ; Jinping Sun ; Yanping Wang ; Shiyi Mao
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
Abstract :
Radio Frequency Interference (RFI) can deteriorate imaging quality of low frequency band synthetic aperture radar (SAR). For SAR using Linear Frequency Modulation (LFM) signals, this paper proposes an RFI suppression method based on clutter estimation in range frequency domain. This method uses eigen-decomposition to complete RFI detection and gets the maximum likelihood estimation (MLE) of clutter intensity for imaging scene. After determining spectrum intervals of RFI signals by the judging method of threshold, our method uses wiener filter to filter the RFI signals in the range frequency domain. The processing results of L-band SAR data verify the effectiveness of our method.
Keywords :
Wiener filters; eigenvalues and eigenfunctions; frequency modulation; maximum likelihood estimation; radar clutter; remote sensing by radar; synthetic aperture radar; L-band SAR data; RFI suppression method; Wiener filter; clutter estimation; eigen-decomposition; linear frequency modulation; low frequency band synthetic aperture radar; maximum likelihood estimation; radiofrequency interference; range frequency domain; Clutter; Frequency-domain analysis; Imaging; Maximum likelihood estimation; Synthetic aperture radar; Wiener filters; MLE; RFI suppression; SAR; eigen-decomposition; histogram;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723200