DocumentCode :
71531
Title :
Acceleration Model Analyses and Imaging Algorithm for Highly Squinted Airborne Spotlight-Mode SAR with Maneuvers
Author :
Shiyang Tang ; Linrang Zhang ; Ping Guo ; Gaogao Liu ; Guang-Cai Sun
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Volume :
8
Issue :
3
fYear :
2015
fDate :
Mar-15
Firstpage :
1120
Lastpage :
1131
Abstract :
Synthetic aperture radar (SAR) imaging is usually performed along a straight path. In practice, variations from the ideal caused by maneuvers with acceleration are inevitable. The main problem is the complex signal processing, particularly in the highly squinted spotlight mode. In this paper, acceleration model is analyzed in more details. Impacts are obtained how the acceleration influences the Doppler parameters and space-variant terms, including the SAR resolution and azimuth bandwidth. According to the special signal properties of the acceleration case, an approximation of the range history is made to avoid using the method of series reversion (MSR) to obtain an accurate spectrum. Based on the high-accurate spectrum, a spotlight algorithm with a modified two-step approach is given. Simulation results show the effectiveness of the modified algorithm.
Keywords :
remote sensing by radar; synthetic aperture radar; Doppler parameters; SAR imaging; SAR resolution; acceleration model analysis; azimuth bandwidth; complex signal processing; high-accurate spectrum; highly squinted airborne spotlight-mode SAR; imaging algorithm; modified algorithm; series reversion method; space-variant terms; straight path; synthetic aperture radar; Acceleration; Azimuth; Bandwidth; Doppler effect; Mathematical model; Synthetic aperture radar; Vectors; Acceleration model; highly squinted; maneuvers; omega-K algorithm (OKA); spotlight synthetic aperture radar (SAR); two-step approach;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2015.2399103
Filename :
7045487
Link To Document :
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