Cargando…
LPI Radar Waveform Recognition Based on Neural Architecture Search
In order to reach the intelligent recognition, the deep learning classifiers adopted by radar waveform are normally trained with transfer learning, where the pretrained convolutional neural network on an external large-scale classification dataset (e.g., ImageNet) is used as the backbone. Though tra...
Autores principales: | Ma, Zhiyuan, Yu, Wenting, Zhang, Peng, Huang, Zhi, Lin, Anni, Xia, Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803471/ https://www.ncbi.nlm.nih.gov/pubmed/35111210 http://dx.doi.org/10.1155/2022/4628481 |
Ejemplares similares
-
LPI Radar Waveform Recognition Based on Features from Multiple Images
por: Ma, Zhiyuan, et al.
Publicado: (2020) -
LPI Radar Waveform Recognition Based on Time-Frequency Distribution
por: Zhang, Ming, et al.
Publicado: (2016) -
Spatial Information-Theoretic Optimal LPI Radar Waveform Design
por: Chen, Jun, et al.
Publicado: (2022) -
Lean Neural Networks for Autonomous Radar Waveform Design
por: Baietto, Anthony, et al.
Publicado: (2022) -
Specific Radar Recognition Based on Characteristics of Emitted Radio Waveforms Using Convolutional Neural Networks
por: Matuszewski, Jan, et al.
Publicado: (2021)