DocumentCode :
2736513
Title :
An improved scatter selection method for phase gradient autofocus algorithm in SAR/ISAR autofocus
Author :
Fu, Tuo ; Meiguo Gao ; He, Yuan
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., China
Volume :
2
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
1054
Abstract :
The phase gradient autofocus (PGA) is a state of art technique for phase error correction of synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR). It exploits the redundancy of phase error information among range bins by selecting the strongest scatter for each range bin and then synthesizes them. The motivation of this paper is based on the observation that the redundancy of phase error information is also among the cross-range (azimuth) direction in the image domain. A new scatter selection scheme is proposed to better utilize the phase error information contained in the image. The validity of our new prominent scatters selection method for PGA algorithm is theoretically analyzed and tested with some numeral simulation. It shows that a faster convergence speed can be obtained by our new method.
Keywords :
numerical analysis; radar imaging; redundancy; synthetic aperture radar; SAR/ISAR autofocus; azimuth direction; convergence; cross range direction; inverse synthetic aperture radar; numeral simulation; phase error correction; phase error information; phase gradient autofocus algorithm; redundancy; scatter selection method; state of art technique; Algorithm design and analysis; Art; Azimuth; Electronics packaging; Error correction; Inverse synthetic aperture radar; Radar scattering; Redundancy; Synthetic aperture radar; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
Type :
conf
DOI :
10.1109/ICNNSP.2003.1281050
Filename :
1281050
Link To Document :
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