Title :
Signal characteristics analysis of GEO SAR
Author :
Caipin Li ; Mingyi He
Author_Institution :
Sch. of Electr. & Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Due to the advantage of one day repeating-cycle period, Geosynchronous SAR (GEO SAR) has caused much more increasing attention in the academia and industry. In order to describe GEO SAR accurately, the signal characteristics including synthetic aperture, temporal resolution, imaging swath, satellite velocity and resolution improvement factor in GEO SAR are analysed in this paper. Based on the signal characteristics, the signal processing methods of chirp scaling algorithm, range Doppler algorithm and Back Projection algorithm are applied for GEO SAR imaging. By analysis of simulation results of point target imaging, it is found that Back Projection algorithm can produce the best point target imaging. At last, some typical applications of GEO SAR are also introduced. The study on GEO SAR has remarkable economic benefits and social effects.
Keywords :
Doppler radar; image resolution; radar imaging; radar tracking; remote sensing by radar; spaceborne radar; synthetic aperture radar; target tracking; GEO SAR imaging; back projection algorithm; chirp scaling algorithm; economic benefit; geosynchronous SAR; imaging swath; point target imaging; range Doppler algorithm; repeating-cycle period; resolution improvement factor; satellite velocity; signal characteristics analysis; signal processing method; social effect; synthetic aperture; temporal resolution; Back Projection algorithm; Geosynchronous SAR; Signal characteristics; Signal processing;
Conference_Titel :
Radar Conference 2013, IET International
Conference_Location :
Xi´an
Electronic_ISBN :
978-1-84919-603-1
DOI :
10.1049/cp.2013.0211