An Rfi Detection Algorithm For Microwave Radiometers Using Sparse Component Analysis

Priscilla N. Mohammed,Asmita Korde-Patel,Armen Gholian,Jeffrey R. Piepmeier,Adam J. Schoenwald,Damon Bradley

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)（2017）

引用 0|浏览16

暂无评分

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.

查看译文

关键词

radio frequency interference, microwave radiometry, sparse component analysis

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要