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Low- and Moderate-Level RFI Detection Using Point-Source Ripple for Synthetic Aperture Interferometric Radiometer
被引：3
|作者：
Jin, Rong
[1
]
Lu, Hailiang
[2
]
Chen, Liangbing
[3
,4
]
Gao, Yixin
[5
]
Li, Qingxia
[5
]
机构：
[1] Huazhong Univ Sci & Technol, Sch Cyber Sci & Engn, Wuhan 430074, Peoples R China
[2] China Acad Space Technol, Xian 710100, Peoples R China
[3] Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Zhuhai 519000, Peoples R China
[4] Nanchang Univ, Sch Informat Engn, Nanchang 330031, Jiangxi, Peoples R China
[5] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan 430074, Peoples R China
来源：
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
|
2022年
/
60卷
基金：
中国国家自然科学基金;
关键词：
Antenna measurements;
Microwave radiometry;
Location awareness;
Image reconstruction;
Numerical simulation;
Mathematical models;
Directive antennas;
Detection;
point-source ripple;
radio-frequency interference (RFI);
synthetic aperture interferometric radiometer (SAIR);
RADIOFREQUENCY INTERFERENCE;
SMOS;
MITIGATION;
D O I：
10.1109/TGRS.2022.3152569
中图分类号：
P3 [地球物理学];
P59 [地球化学];
学科分类号：
0708 ;
070902 ;
摘要：
Finding out and turning off the radio-frequency interference (RFI) sources as many as possible is an important work for synthetic aperture interferometric radiometer (SAIR). While the impact of strong RFIs on reconstructed brightness temperature (BT) image is clearly observable, the presence of low- or moderate-level RFIs is often hard to be aware of, leaving the RFI detection and localization a difficult problem. In this article, an improved RFI detection method is proposed by making use of the point-source ripple to give prominence to the RFIs presented in the SAIR imagery. The method tests based on Soil Moisture and Ocean Salinity satellite (SMOS) visibility samples and the performance evaluations by numerical simulations validate the correctness and effectiveness of the developed method.
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页数：11
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