| 引用本文: | 张志民,欧建平,皇甫堪,等.数字和模拟通信信号调制方式的自动识别.[J].国防科技大学学报,2010,32(4):88-93.[点击复制] |
| ZHANG Zhimin,OU Jianping,HUANGFU Kan,et al.Automatic Modulation Recognition of Both Digital and Analog Communication Signals[J].Journal of National University of Defense Technology,2010,32(4):88-93[点击复制] |
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| 数字和模拟通信信号调制方式的自动识别 |
| 张志民, 欧建平, 皇甫堪, 王春雷 |
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(国防科技大学 电子科学与工程学院，湖南 长沙 410073)
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| 摘要: |
| 为自动识别数字和模拟通信信号的调制方式，基于接收信号的一阶统计矩提出9个特征参数，它们均可利用常规信号处理技术获得，参数提取过程计算量小，有利于信号的实时在线分析。以判决理论为基础提出一种调制方式自动识别算法，给出算法的实现流程。计算机仿真结果表明，在信噪比≥9dB时，算法平均识别成功率≥97%，有望用于实际非协作通信系统中信号的检测和快速识别。 |
| 关键词: 调制方式自动识别 一阶统计矩 特征参数 |
| DOI： |
| 投稿日期：2010-04-07 |
| 基金项目: |
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| Automatic Modulation Recognition of Both Digital and Analog Communication Signals |
| ZHANG Zhimin, OU Jianping, HUANGFU Kan, WANG Chunlei |
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(College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| In order to automatically classify the modulation types of both digital and analog communication signals, nine feature parameters based on the first statistical moments of the received signals were proposed. All those feature parameters were calculated using the conventional signal processing methods. The calculation process is less complicated and it is suitable for real time online analysis. Next, an automatic modulation recognition algorithm based on the decision-theoretic approach was also developed and its realization was also presented in the form of a flowchart. Computer simulations shows that all the aforementioned types of communication signals have been recognized with an average success rate ≥97% at SNR≥9dB and the method proposed is suitable for the practical application of signal detection and fast recognition in non-cooperation communication systems. |
| Keywords: automatic modulation recognition the first statistical moment feature parameters |
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