Assessment of back-end RFI mitigation techniques in passive remote sensing

January 1, 2015·
Jorge Querol
,
A. Alonso-Arroyo
,
R. Onrubia
,
D. Pascual
,
A. Camps
· 1 min read
DOI
Abstract
Radio-Frequency Interference (RFI) is a growing problem specially for those systems that work with low power signals such as passive remote sensing instruments. Consequently, RFI mitigation techniques are currently under development. This works aims at evaluating back-end mitigation algorithms in terms of their probability of detection and mitigation performance. Results show that Wavelet Denoising (WD), and Multiresolution Fourier Transform (MFT) are the best techniques in most scenarios, specially for GNSS-based instruments.
Type
Publication
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
publication

Abstract & Overview

Radio-Frequency Interference (RFI) is a growing problem specially for those systems that work with low power signals such as passive remote sensing instruments. Consequently, RFI mitigation techniques are currently under development. This works aims at evaluating back-end mitigation algorithms in terms of their probability of detection and mitigation performance. Results show that Wavelet Denoising (WD), and Multiresolution Fourier Transform (MFT) are the best techniques in most scenarios, specially for GNSS-based instruments.

Publication Metadata

  • Authors: Jorge Querol, A. Alonso-Arroyo, R. Onrubia, D. Pascual, A. Camps
  • Venue: 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (2015)
  • Research Areas: JCAS & Earth Observation, RFI Mitigation & GNSS Security
  • DOI: 10.1109/igarss.2015.7326890
JCAS & Earth Observation RFI Mitigation & GNSS Security