| 基于BP神经网络的通信信号调制体制识别技术 |
| |
| 引用本文： | 李迅,陆农春,卫强,周建军,梁艳华.基于BP神经网络的通信信号调制体制识别技术[J].国际商务研究,2006,46(1):143-147. |
| |
| 作者姓名： | 李迅 陆农春 卫强 周建军 梁艳华 |
| |
| 作者单位： | [1]海军装备研究院,北京102249 [2]解放军91917部队,北京102401 |
| |
| 摘 要： | 本文研究了基于BP神经网络的通信信号调制体制识别技术。提取了反映信号调制体制差异的特征参数，并从提高收敛速度和正确识别概率出发，构建了最佳的神经网络分类器。实验结果表明，该技术拥有较好的通信信号调制体制识别性能。
|
| 关 键 词： | 通信信号 调制识别 特征参数 BP神经网络 组合网络结构 大数判决 |
| 收稿时间： | 2005/5/18 0:00:00 |
| 修稿时间： | 2005/10/12 0:00:00 |
Modulation Recognition Technology for Communication Signals Based on BP Neural Networks |
| |
| LI Xun,LU Nong-chun,WEI Qiang,ZHOU Jian-Jun,LIANG Yan-hua.Modulation Recognition Technology for Communication Signals Based on BP Neural Networks[J].International Business Research,2006,46(1):143-147. |
| |
| Authors: | LI Xun LU Nong-chun WEI Qiang ZHOU Jian-Jun LIANG Yan-hua |
| |
| Institution: | 1. Naval Academy of Armament, Beijing 102249,China; 2. Unit 91917 of PLA, Beijing 102401 ,China |
| |
| Abstract: | The modulation recognition technology for communication signals based on BP neural networks is studied. The character parameters reflecting the difference of signal modulations are extracted. According to convergence rate and right identifiable probability, the best neural networks classification is established. Experiment result shows that these technologies have better performances for automatic modulation recognition of communication signals. |
| |
| Keywords: | communication signal modulation recognition character parameter BP neural network combined networks structure judgement of the biggest number |
|
| 点击此处可从《国际商务研究》浏览原始摘要信息 |
| 点击此处可从《国际商务研究》下载免费的PDF全文 |
