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A Bistatic SAR Raw Data Simulator Based on Inverse ω-k Algorithm

delete2010-03-01
delete42
PRE
AI
X
Xiaolan Qiu *
D
Donghui Hu
DOI:10.1109/TGRS.2009.2032776delete
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摘要

摘要

En 中文
A synthetic aperture radar (SAR) raw data simulator is an important tool for testing the system parameters and the imaging algorithms. In this paper, a scene raw data simulator based on an inverse omega-k algorithm for bistatic SAR of a translational invariant case is proposed. The differences between simulations of monostatic and bistatic SAR are also described. The algorithm proposed has high precision and can be used in long-baseline configuration and for single-pass interferometry. Implementation details are described, and plenty of simulation results are provided to validate the algorithm.
Keyword:
Bistatic synthetic aperture radar (SAR)
raw data simulation
omega-k algorithm
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期刊

IEEE Transactions on Geoscience and Remote Sensing 封面图
IEEE Transactions on Geoscience and Remote Sensing
IF:
8.6
论文数:
2.1W
被引数:
10.7W

机构

I
institute of electronics, cas
学者数:
179
论文数: 179
被引数: 0
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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