Wide-band interference mitigation algorithm for SAR based on time-varying filtering and sparse recovery

• Published in: Electronics letters Vol. 54; no. 3; pp. 165 - 167
• Main Authors: Lu, Xingyu, Yang, Jianchao, Ma, Chao, Gu, Hong, Su, Weimin
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 08.02.2018
• Subjects: adaptive dictionary‐based sparse recovery algorithm; filtering theory; Fourier transforms; interference suppression; preprocessing step; radar imaging; Radar, sonar and navigation; SAR; SAR imaging algorithms; short‐time Fourier transform domain; synthetic aperture radar; synthetic aperture radar image quality; time‐varying filtering method; useful target echo loss; WBI suppression technique; wide‐band interference mitigation algorithm; interference suppression; Fourier transforms; SAR; filtering theory; useful target echo loss; WBI suppression technique; SAR imaging algorithms; synthetic aperture radar image quality; time-varying filtering method; synthetic aperture radar; preprocessing step; radar imaging; adaptive dictionary-based sparse recovery algorithm; short-time Fourier transform domain; wide-band interference mitigation algorithm
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2017.3963

Wide-band interference (WBI) can severely degrade synthetic aperture radar image quality. This Letter proposes a new WBI suppression technique using time-varying filtering method and sparse recovery. In this method, a time-varying filter is firstly set up in the short-time Fourier transform domain as a pre-processing step to suppress the major power of WBI, and then, an adaptive dictionary-based sparse recovery algorithm is developed to recover the useful target echo loss resulting from time-varying filtering. Finally, traditional SAR imaging algorithms can be performed to obtain a well-focused image. Simulation results demonstrate the validity of the proposed method.