Title :
Super-resolution RFI localization with compressive sensing in synthetic aperture interferometric radiometers
Author :
Jun Li;Fei Hu;Feng He;Liang Wu;Xiaohui Peng;Yayun Cheng;Dong Zhu;Ke Chen
Author_Institution :
School of Electronic Information and Communication, National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan 430074, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
An accurate geolocation of the radio frequency interference (RFI) sources is significant to effectively switch off illegal transmitters. In this study, utilizing the sparse property of RFI in the observed scene, a super-resolution RFI localization method based on compressive sensing is presented in synthetic aperture interferometric radiometer (SAIR). Numerical results show the presented method can achieve an super-resolution RFI localization even when there are some missing data due to correlator or receiver failure.
Keywords :
"Brightness temperature","Spatial resolution","Multiple signal classification","Compressed sensing","Signal resolution","Temperature measurement","Apertures"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326887
