Title :
High-resolution wide-swath SAR processing with compressed sensing
Author :
Cerutti-Maori, Delphine ; Prunte, Ludger ; Sikaneta, Ishuwa ; Ender, Joachim
Author_Institution :
Fraunhofer Inst. for High Freq. Phys. & Radar Tech. (FHR), Wachtberg, Germany
Abstract :
This paper derives a signal processing method based on compressed sensing (CS) for multi-channel high-resolution wide-swath (HRWS) synthetic aperture radars (SARs) and discusses the applicability of CS for reconstructing the SAR image from undersampled SAR signals. The performance of the proposed CS reconstruction method is investigated for an exemplary HRWS SAR system and compared with the imaging performances achieved with conventional processing methods.
Keywords :
compressed sensing; signal processing; synthetic aperture radar; CS applicability; CS reconstruction method performance; HRWS SAR system; SAR image reconstruction; compressed sensing; conventional processing method; high-resolution wide-swath SAR processing; imaging performance; multichannel high-resolution wide-swath; signal processing method; undersampled SAR signal; Compressed sensing; Image reconstruction; Imaging; Radar imaging; Sensors; Synthetic aperture radar; Vectors; Compressed sensing; HRWS radar; Multi-channel radar signal processing; SAR;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947319
