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A Deep-Learning Method for Radar Micro-Doppler Spectrogram Restoration

Radio frequency interference, which makes it difficult to produce high-quality radar spectrograms, is a major issue for micro-Doppler-based human activity recognition (HAR). In this paper, we propose a deep-learning-based method to detect and cut out the interference in spectrograms. Then, we restor...

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Detalles Bibliográficos
Autores principales: He, Yuan, Li, Xinyu, Li, Runlong, Wang, Jianping, Jing, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506618/
https://www.ncbi.nlm.nih.gov/pubmed/32899348
http://dx.doi.org/10.3390/s20175007