Machine Learning in Adversarial RF Environments

Volume: 57, Issue: 5, Pages: 82 - 87
Published: May 1, 2019
Abstract
With more and more autonomous deployments of wireless networks, accurate knowledge of the RF environment is becoming indispensable. Various techniques have been developed over the years that can not only assess the RF environment but can also characterize the various radio transmitters (sources) that define the ambient RF environment. Machine learning techniques have shown promise for such characterizations through the development of RF machine...
Paper Details
Title
Machine Learning in Adversarial RF Environments
Published Date
May 1, 2019
Volume
57
Issue
5
Pages
82 - 87
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