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NASA NTRS · 20180003464

An RFI Detection Algorithm for Microwave Radiometers Using Sparse Component Analysis

Abstract

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.

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BibTeXRIS

Mohammed, Priscilla N., Korde-Patel, Asmita, Gholian, Armen, Piepmeier, Jeffrey R., Schoenwald, Adam J., Bradley, Damon C.. 2017-07-23. An RFI Detection Algorithm for Microwave Radiometers Using Sparse Component Analysis. https://ntrs.nasa.gov/citations/20180003464

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