RFI Suppression in Ultrawideband SAR Using an Adaptive Line Enhancer

• Published in: IEEE geoscience and remote sensing letters Vol. 7; no. 4; pp. 694 - 698
• Main Authors: Vu, Viet T, Sjögren, Thomas K, Pettersson, Mats I, Håkansson, Lars, Gustavsson, Anders, Ulander, Lars M H
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive algorithms; Adaptive control; Adaptive control systems; adaptive line enhancer; Adaptive line enhancer (ALE); Algorithms; CARABAS-II; Imaging; Interference suppression; Least mean square algorithms; Line enhancers; Maskinteknik; Mechanical Engineering; normalized least mean square (LMS) (NLMS); normalized leastmean square (LMS) (NLMS); Programmable control; Proposals; Radio frequency; radio-frequency interference (RFI); Radiofrequency interference; Remote sensing; RFI supression; SAR; Synthetic aperture radar; synthetic aperture radar (SAR); Ultra wideband technology; Ultrawideband; ultrawideband (UWB)
• ISSN: 1545-598X; 1558-0571; 1558-0571
• DOI: 10.1109/LGRS.2010.2045633

In this letter, we propose an approach to suppress radio-frequency interference (RFI) in ultrawideband (UWB) low-frequency synthetic aperture radar (SAR). According to the proposal, RFI is suppressed by using an adaptive line enhancer controlled by the normalized least mean square algorithm. The approach is tested successfully on real UWB low-frequency SAR data. In order to keep the computational burden down, possible ways to integrate the RFI suppression approach into SAR imaging algorithms are also suggested.