KEYWORDS: Electroencephalography, Brain, Control systems, Visualization, Data modeling, Wavelets, Electrodes, Denoising, Computing systems, Signal processing
Under the condition of modern information technology, the scale of battlefield electromagnetic information increases exponentially, which makes the electromagnetic environment more complex, and brings great opportunities and challenges to the development of anomaly detection algorithms in complex electromagnetic environment. Since the research in this field is still in its infancy and the research work system is not strong, this paper sorted out and analyzed relevant literatures at home and abroad, and sorted out and summarized traditional methods and deep learning methods respectively according to different anomaly detection algorithms. At the same time, the research difficulties and development trend of anomaly detection algorithm in complex electromagnetic environment are proposed to provide reference and suggestions for subsequent research.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.