RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal Data

Published: Dec 1, 2019
Abstract
The recent advances of wireless technologies in RF environments coupled with large scale usage of such technologies has warranted more autonomous deployments of wireless systems. Machine learning techniques, that include recurrent structures, have shown promise in creating such autonomous deployments using the idea of Radio Frequency Machine Learning (RFML). In large scale autonomous deployments of wireless communication networks, the signals...
Paper Details
Title
RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal Data
Published Date
Dec 1, 2019
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.