| 引用本文: | 黄春琳,邱玲,沈振康.数字调制信号的神经网络识别方法.[J].国防科技大学学报,1999,21(2):58-61.[点击复制] |
| Huang Chunlin,Qu Ling,Shen Zhenkang.ANNs Approach to Digital Modulation Recognition[J].Journal of National University of Defense Technology,1999,21(2):58-61[点击复制] |
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| 数字调制信号的神经网络识别方法 |
| 黄春琳, 邱玲, 沈振康 |
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(国防科技大学 电子技术系 湖南 长沙 410073)
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| 摘要: |
| 提出数字调制信号的人工神经网络识别方法, 从信号幅度、相位、频率及功率谱等特性中提取五种特征参数, 用于训练神经网络对数字调制信号的识别。采用神经网络, 不仅可提高识别的智能化, 而且能提高正确识别率。 |
| 关键词: 调制方式识别, 数字调制信号, 神经网络 |
| DOI： |
| 投稿日期：1998-05-16 |
| 基金项目: |
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| ANNs Approach to Digital Modulation Recognition |
| Huang Chunlin, Qu Ling, Shen Zhenkang |
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(Department of Electronic Technology, NUDT, Changsha, 410073)
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| Abstract: |
| A new algorithms of digital modulation recognition is presented in this article. Artificial neural networks (ANNs) are used to recognize digital modulation in this approach, which is suitable for digital modulation types including 2ASK, 4ASK, 2FSK, 4FSK, 2PSK, 4PSK. ANNs approach can automatically chose the threshold for each feature. It not only makes the classification intelligible, but also improves the success rate of classification. |
| Keywords: modulation recognition, digital modulation, artificial neural networks |
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