The Method of SAR RFI Suppression Based on Compressed Sensing
Shuya Kong, Wei Ye, Guochao Lao, Weikun Zhang
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.142How to use a DOI?
- Compress Sensing, Synthetic Aperture Radar, RFI Suppression, Minimum Description Length
- To the synthetic aperture radar (SAR) imaging system which using Compressed Sensing (CS) technique, radio frequency interference (RFI) would undermine the priori sparse condition and cause deterioration of image quality. In this paper, under the condition of the sparse target scene, it builds the target echo signal and RFI redundant dictionary, according to RFI sparse features on their redundant dictionary, greedy algorithm was used in conjunction with the minimum description length (MDL) criterion to estimate the sparseness of RFI, and SAR imaging RFI suppression algorithms on the compressed domain was designed based on this basis. Simulation results show that in the larger JSR conditions the algorithm can effectively suppress SAR radio interference and achieve better imaging results.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shuya Kong AU - Wei Ye AU - Guochao Lao AU - Weikun Zhang PY - 2016/03 DA - 2016/03 TI - The Method of SAR RFI Suppression Based on Compressed Sensing BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 733 EP - 738 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.142 DO - https://doi.org/10.2991/icmmct-16.2016.142 ID - Kong2016/03 ER -