Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection
2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)（2019）
关键词
training SNR,interference source identification,deep learning algorithms,CNN architecture,single SNR value,classification task,fast deep learning,wireless interference identification,sample selection,wireless technologies,ISM band,classification accuracy,band selection,subNyquist sampling methods,SNR selection,deep neural network architectures,ResNet,CLDNN,LSTM,Bluetooth,Zigbee,WiFi,frequency 10.0 MHz,frequency 2.4 GHz,frequency 2.0 MHz
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