A Novel RFI Suppression Method for Compressive Sensing SAR Imaging

DOI

10.2991/rsete.2013.144How to use a DOI?

Keywords

SAR, RFI suppression, Compressive Sensing, Greedy algorithm, MDL

Abstract

Synthetic Aperture Radar (SAR) has the all-day, all-weather ability to work. It has become one of the important sensors for military reconnaissance and civilian remote sensing. Radio frequency interference (RFI) is the major interference source for low frequency band SAR systems. This paper proposes a novel RFI suppression method for Compressive Sensing SAR. To the compressed sampled echo data, the greedy algorithm is adopted to estimate RFI spectrum with sparse feature, the minimum description length (MDL) criteria is used to estimate the RFI components sparsity. Then to the echo signal of each pulse, the RFI signal components are estimated and filtered in the time domain directly. Lastly, conventional compressive sensing SAR reconstruction algorithm can be applied to achieve imaging output.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mai Chaoyun
AU  - Cui Ruxin
AU  - Sun Jinping
AU  - Zhang Bingchen
PY  - 2013/08
DA  - 2013/08
TI  - A Novel RFI Suppression Method for Compressive Sensing SAR Imaging
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 595
EP  - 598
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.144
DO  - 10.2991/rsete.2013.144
ID  - Chaoyun2013/08
ER  -