Title :
Signal Processing Method for Distributed SAR Imaging Improvement
Author :
Yanjun, Zuo ; Ruliang, Yang
Author_Institution :
Inst. of Electron., Chinese Acad. of Sci., Beijing
Abstract :
A commonly known design requirement for synthetic aperture radar (SAR) systems is the minimum SAR antenna area constraint, and there are range-Doppler ambiguities. So in conventional SAR, there is a well known trade-off between unambiguous swathwidth and resolution. However, if spatial sampling is added, the maximum unambiguous illumination area will increase with the number of receivers; through this method multiple beams can be formed to reject range-Doppler ambiguities. As is well known, multistatic synthetic aperture radar operates with multiple receive antennas distributed among different platforms which can be used to increase the special sampling. And constellations of formation-flying microsatellites are currently under study in the Held of remote sensing. Basing on this multistatic modes, this paper is intended to study signal processing method of SAR Doppler ambiguities resolving to improve image quality
Keywords :
Doppler radar; antenna arrays; image sampling; radar antennas; radar imaging; synthetic aperture radar; distributed SAR imaging; formation-flying microsatellite; multiple receiving antennas; range-Doppler ambiguity; remote sensing; signal processing method; spatial sampling; synthetic aperture radar antenna; Aperture antennas; Lighting; Radar antennas; Radar polarimetry; Radar signal processing; Signal processing; Signal resolution; Signal sampling; Spatial resolution; Synthetic aperture radar; Distributed SAR; Imaging Improvement; Range-Doppler Ambiguities;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343290
