Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (2): 416-423.doi: 10.12305/j.issn.1001-506X.2023.02.12
• Sensors and Signal Processing • Previous Articles
Zhengtu SHAO1,*, Dengrong XU1, Wenli XU2, Hanzhong WANG3
Received:
2021-11-15
Online:
2023-01-13
Published:
2023-02-04
Contact:
Zhengtu SHAO
CLC Number:
Zhengtu SHAO, Dengrong XU, Wenli XU, Hanzhong WANG. Radar active jamming recognition based on LSTM and residual network[J]. Systems Engineering and Electronics, 2023, 45(2): 416-423.
Table 1
Network structure parameters"
网络层 | 关键参数 | 输出形状 | 激活函数 |
输入层 | - | 3 000×1 | - |
卷积层1 | 卷积核大小[100 1]核数目40, 步长100 | 30×1×40 | RELU |
卷积层2~卷积层7 | 卷积核大小[100 1]核数目40, 步长1, 填充方式“same” | 30×1×40 | RELU |
最大池化层 | 池化核大小[20 1] | 11×1×40 | - |
平坦层 | - | 440 | - |
LSTM层1 | 隐藏层数100 | 100 | tanh, sigmoid |
LSTM层2 | 隐藏层数30 | 30 | tanh, sigmoid |
全连接层 | - | 4 | RELU |
分类层 | - | 4 | Softmax |
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