基于时频特征的卷积神经网络跳频调制识别

基于时频特征的卷积神经网络跳频调制识别

李红光,郭英,眭萍,齐子森

Frequency hopping modulation recognition of convolutional neural network based on time-frequency characteristics

Hong-guang LI,Ying GUO,Ping SUI,Zi-sen QI

表 3 不同Dropout比例的CNN调制识别训练结果

Tab.3 CNN modulation recognition training results with different Dropout ratios

p/%	训练集			验证集			测试集
p/%	R_psr / %	L_loss		R_psr / %	L_loss		R_psr / %	L_loss
0	100	0.006 2		91.88	0.085 3		90.05	0.087 4
10	100	0.013 7		87.92	0.184 7		87.42	0.188 5
20	100	0.006 9		89.24	0.093 8		88.21	0.100 4
30	100	0.007 5		88.13	0.096 6		87.98	0.099 5
40	99.93	0.062 1		90.75	0.088 2		90.62	0.110 6
50	100	0.003 8		92.81	0.087 1		92.63	0.095 4
60	100	0.004 3		89.46	0.109 2		88.34	0.101 3
70	99.96	0.076 7		88.25	0.114 7		87.83	0.132 8
80	100	0.006 6		91.33	0.087 1		91.35	0.099 6
90	100	0.009 2		89.75	0.093 6		89.43	0.101 2