DocumentCode :
2631796
Title :
A Comparison of Back-Projection and Range Migration Algorithms for Ultra-Wideband SAR Imaging
Author :
Na, Yibo ; Lu, Yilong ; Sun, Hongbo
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
fYear :
2006
fDate :
12-14 July 2006
Firstpage :
320
Lastpage :
324
Abstract :
Ultra-wideband waveform and large integration angle benefit the synthetic aperture radar (SAR) with very high range and azimuth resolutions. However, at the same time, more new complexities and challenges are brought to the conventional SAR imaging algorithms. The back-projection algorithm and range migration algorithm are two newly developed algorithms that can be used in ultra-wideband SAR imaging. The back-projection algorithm originates from the medical imaging reconstruction technique called computer-aided tomography whereas the range migration algorithm is derived from seismic migration techniques. In the application to SAR imaging, the performance comparison is made in this paper based on theoretical analysis, simulation and experimental data. The analysis and processing results show that both algorithms are suitable for ultra-wideband SAR imaging and the theoretical resolution performances can be achieved. In addition, some practical issues of implementation and performance difference about these two algorithms are addressed as well
Keywords :
radar imaging; synthetic aperture radar; ultra wideband radar; back-projection algorithm; range migration algorithm; range migration algorithms; synthetic aperture radar; ultra-wideband SAR imaging; ultra-wideband waveform; Application software; Azimuth; Biomedical imaging; Image analysis; Image reconstruction; Performance analysis; Radar polarimetry; Synthetic aperture radar; Tomography; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
Type :
conf
DOI :
10.1109/SAM.2006.1706146
Filename :
1706146
Link To Document :
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