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Fast Factorized Backprojection Algorithm for One-Stationary Bistatic Spotlight Circular SAR Image Formation.

Authors :
Xie, Hongtu
Shi, Shaoying
An, Daoxiang
Wang, Guangxue
Wang, Guoqian
Xiao, Hui
Huang, Xiaotao
Zhou, Zhimin
Xie, Chao
Wang, Feng
Fang, Qunle
Source :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Apr2017, Vol. 10 Issue 4, p1494-1510, 17p
Publication Year :
2017

Abstract

In this paper, a fast factorized backprojection (FFBP) algorithm is proposed for the one-stationary bistatic spotlight circular synthetic aperture radar (OS-BSCSAR) data processing. This method represents the subimages on polar grids in the slant-range plane instead of the ground plane, which can be accurately referenced to the tracks of both transmitter and receiver. It can not only accurately accommodate the complicated circular track including the motion error, scene topographic information, large spatial variances and significant range-azimuth coupling of the echo data, but also improve the imaging efficiency compared with the backprojection (BP) algorithm. First, OS-BSCSAR imaging geometry is provided, and then the bistatic BP algorithm for the OS-BSCSAR imaging is derived to provide a basis for the proposed FFBP algorithm. Second, based on the subaperture imaging model, the polar grids for calculating the subimages are defined, and the sampling requirements for the polar grids are derived from the viewpoint of the bandwidth, which can offer the near-optimum tradeoff between the imaging quality and the imaging efficiency. Finally, implementation and computational burden of the proposed FFBP algorithm is discussed, and then the speed-up factor of the proposed FFBP algorithm with respect to the bistatic BP algorithm is derived. Experiment results are given to prove the correctness of the theory analysis and validity of the proposed FFBP algorithm. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
19391404
Volume :
10
Issue :
4
Database :
Complementary Index
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing
Publication Type :
Academic Journal
Accession number :
122334871
Full Text :
https://doi.org/10.1109/JSTARS.2016.2639580