| 数字通信信号自动识别算法 |
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| 引用本文： | 王建新,包国平.数字通信信号自动识别算法[J].南京理工大学学报(自然科学版),2006,30(5):608-611. |
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| 作者姓名： | 王建新 包国平 |
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| 作者单位： | 南京理工大学,电子工程与光电技术学院,江苏,南京,210094 |
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| 摘 要： | 在低信噪比条件下，对6种数字通信信号的自动识别进行了研究，根据数字通信信号高阶矩和高阶累积量的特性提取了1组特征参数，采用分层结构的BP神经网络进行识别。仿真结果表明：当样本数据足够多，信噪比为4dB时，正确识别率接达98％。
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| 关 键 词： | 信号识别 高阶累积量 人工神经网络 |
| 文章编号： | 1005-9830（2006）05-0608-04 |
| 收稿时间： | 2004-12-15 |
| 修稿时间： | 2006-02-19 |
Automatic Identification Algorithm for Digital Communication Signals |
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| WANG Jian-xin,BAO Guo-ping.Automatic Identification Algorithm for Digital Communication Signals[J].Journal of Nanjing University of Science and Technology(Nature Science),2006,30(5):608-611. |
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| Authors: | WANG Jian-xin BAO Guo-ping |
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| Abstract: | This paper studies an automatic identification method for six kinds of digital communication signals in the condition of low signa-to-noise ratio. The feature parameters that are higher-order moments and cumulants of digital communication signals are derived from the received signals. Then a hierarchical artificial neural network classifier is used to accomplish the recognition. The simulation results show that the correct identification rate reaches 98% with 4 dB of signal-to-noise ratio and enough data samples. |
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| Keywords: | signal identification higher-order moment artificial neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
