A Complex-Valued Self-Supervised Learning-Based Method for Specific Emitter Identification

Specific emitter identification (SEI) refers to distinguishing emitters using individual features extracted from wireless signals. The current SEI methods have proven to be accurate in tackling large labeled data sets at a high signal-to-noise ratio (SNR). However, their performance declines dramati...

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Detalles Bibliográficos
Autores principales: Zhao, Dongxing, Yang, Junan, Liu, Hui, Huang, Keju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318124/
https://www.ncbi.nlm.nih.gov/pubmed/35885074
http://dx.doi.org/10.3390/e24070851

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318124/
https://www.ncbi.nlm.nih.gov/pubmed/35885074
http://dx.doi.org/10.3390/e24070851

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