Title :
Focusing general bistatic SAR data using frequency scaling
Author :
Li, Feng ; Zeng, Tao ; Long, Teng
Author_Institution :
Beijing Inst. of Technol., Beijing, China
Abstract :
This paper presents a method to focusing the general bistatic synthetic aperture radar (BiSAR) data. First, using the extended Taylor series, the general BiSAR data are transformed into the azimuth-invariant BiSAR one. Second, the monostatic frequency scaling algorithm is extended to the bistatic one. The numerical experiment indicates that our methodology is valid and the proposed algorithm can process the data of the general BiSAR.
Keywords :
fast Fourier transforms; radar imaging; synthetic aperture radar; extended Taylor series; general bistatic SAR data; monostatic frequency scaling algorithm; synthetic aperture radar; Artificial intelligence; Focusing; Radar tracking; Receivers; Synthetic aperture radar; Transmitters; Bistatic SAR; frequency scaling; synthetic aperture radar (SAR);
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5653173
