An RFI detection algorithm for microwave radiometers using sparse component analysis

机译：稀疏分量分析的微波辐射计射频干扰检测算法

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摘要

Radio Frequency Interference (RFI) is a threat to passive microwave measurements and if undetected, can corrupt science retrievals. The sparse component analysis (SCA) for blind source separation has been investigated to detect RFI in microwave radiometer data. Various techniques using SCA have been simulated to determine detection performance with continuous wave (CW) RFI.

机译：射频干扰（RFI）对无源微波测量构成威胁，如果未被发现，则会破坏科学检索。已经研究了用于盲源分离的稀疏成分分析（SCA），以检测微波辐射计数据中的RFI。已经模拟了使用SCA的各种技术来确定连续波（CW）RFI的检测性能。

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来源
《International Geoscience and Remote Sensing Symposium》|2017年|3452-3454|共3页
会议地点 Fort Worth(US)
作者
Priscilla N. Mohammed; Asmita Korde-Patel; Armen Gholian; Jeffrey R. Piepmeier; Adam Schoenwald; Damon Bradley;
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NASA's Goddard Space Flight Center Greenbelt MD 20771 USA;

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Indexes; Hafnium; Blind source separation; Independent component analysis; Artificial neural networks;

机译：索引；铪;盲源分离；独立成分分析；人工神经网络;

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专利

1. Microwave Radiometer Radio-Frequency Interference Detection Algorithms: A Comparative Study [J] . Misra S., Mohammed P. N., Guner B., Geoscience and Remote Sensing, IEEE Transactions on . 2009,第11期

机译：微波辐射计射频干扰检测算法的比较研究
2. Real-Time RFI Detection and Mitigation System for Microwave Radiometers [J] . Forte G.F., Querol J., Camps A., IEEE Transactions on Geoscience and Remote Sensing . 2013,第10期

机译：微波辐射计的实时RFI检测和缓解系统
3. An RFI Detection and Mitigation Algorithm for an L-Band Phased Array Radiometer [J] . Lu Hailiang, Li Yinan, Yu Rui, IEEE Geoscience and Remote Sensing Letters . 2020,第5期

机译：L波段相控阵辐射计的RFI检测与缓解算法
4. AN RFI DETECTION ALGORITHM FOR MICROWAVE RADIOMETERS USING SPARSE COMPONENT ANALYSIS [C] . Priscilla N. Mohammed, Asmita Korde-Patel, Armen Gholian, IEEE International Geoscience and Remote Sensing Symposium . 2017

机译：利用稀疏分量分析的微波辐射仪的RFI检测算法
5. Android Malware Detection through Permission and App Component Analysis using Machine Learning Algorithms [D] . Kulkarni, Keyur Milind. 2018

机译：通过权限进行Android恶意软件检测，并使用机器学习算法对应用程序组件进行分析
6. Statistical Approach to Spectrogram Analysis for Radio-Frequency Interference Detection and Mitigation in an L-Band Microwave Radiometer [O] . Myeonggeun Oh, Yong-Hoon Kim 2019

机译：L波段微波辐射计中无线电频率干扰检测和缓解的频谱图统计方法
7. Microwave Radiometer RFI Detection Using Deep Learning [O] . Priscilla N Mohammed, Jeffrey R. Piepmeier 2021

机译：微波辐射计RFI检测使用深度学习

An RFI detection algorithm for microwave radiometers using sparse component analysis

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