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Beam Steering SAR Data Processing by a Generalized PFA

delete2013-08-01
delete52
PRE
AI
G
Guang‐Cai Sun *
M
Mengdao Xing
X
Xiang‐Gen Xia
吴
吴义熔 (Yirong Wu)
Z
Zheng Bao
DOI:10.1109/TGRS.2012.2237407delete
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摘要

摘要

En 中文
For different applications with different requirements, many synthetic aperture radar (SAR) modes have been developed in the literature, such as, Terrain Observation by Progressive Scans (TOPS) SAR and sliding spotlight SAR. In this paper, we call TOPS SAR, sliding spotlight SAR, and spotlight SAR as beam steering SAR (BS-SAR for short). Comparing with stripmap SAR, BS-SAR can obtain a wide diversity of resolutions by increasing or reducing the azimuth synthetic time. Traditional polar formation algorithm (PFA) is an efficient algorithm which is mainly developed for spotlight SAR. The PFA has been validated to obtain well-focused results of raw data. In this paper, we extend the traditional PFA to process sliding spotlight SAR and TOPS SAR data, and we call it generalized PFA (GPFA). Comparing with the traditional PFA, GPFA contains a different azimuth deramping function and an additional azimuth scaling operation. The simulated and real data are used to validate the effectiveness of this method.
Keyword:
Azimuth deramping function
azimuth scaling operation
beam steering synthetic aperture radar (BS-SAR)
generalized PFA (GPFA)
sliding spotlight SAR
spotlight SAR
terrain observation by progressive scans (TOPS) SAR

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

U
University of Delaware
学者数:
1.3W
论文数: 1.3W
被引数: 2.0W
X
Xidian University
学者数:
2.4W
论文数: 1.9W
被引数: 9.7K
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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