Radar Emitter Identification Based on Deep Convolutional Neural Network

• Published in: 2018 International Conference on Control, Automation and Information Sciences (ICCAIS) pp. 309 - 314
• Main Authors: Kong, Mingxin, Zhang, Jing, Liu, Weifeng, Zhang, Guilin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2018
• Subjects: CNN; Deep Learning; Feature extraction; Feature Representation; Neural networks; Radar; Radar Emitter Identification; Spectrogram; STFT; Support vector machines; Time-frequency analysis
• ISSN: 2475-7896
• DOI: 10.1109/ICCAIS.2018.8570480

Aiming at the identification and classification of radar radiation sources, this paper proposes a classification method based on the Convolutional Neural Network(CNN) for radar signal classification. Firstly, this paper sets the appropriate learning rate, batch size, iteration number, momentum and w...