| 数字调制信号的神经网络识别方法 |
| |
| 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. |
| |
| 作者姓名： | 黄春琳 邱玲 沈振康 |
| |
| 作者单位： | 国防科技大学电子技术系 |
| |
| 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 |
| 收稿时间： | 1998/5/16 0:00:00 |
ANNs Approach to Digital Modulation Recognition |
| |
| Huang Chunlin,Qu Ling and Shen Zhenkang.ANNs Approach to Digital Modulation Recognition[J].Journal of National University of Defense Technology,1999,21(2):58-61. |
| |
| Authors: | Huang Chunlin Qu Ling and Shen Zhenkang |
| |
| Institution: | Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073 |
| |
| 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 |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《国防科技大学学报》浏览原始摘要信息 |
| 点击此处可从《国防科技大学学报》下载免费的PDF全文 |
|
