| 一种混合模式的神经网络自动调制识别器 |
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| 引用本文： | 赖惠成, 褚辉. 一种混合模式的神经网络自动调制识别器[J]. 电子与信息学报, 2008, 30(5): 1203-1205. doi: 10.3724/SP.J.1146.2007.00515 |
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| 作者姓名： | 赖惠成 褚辉 |
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| 作者单位： | 新疆大学信息科学与工程学院,乌鲁木齐,830046;新疆大学信息科学与工程学院,乌鲁木齐,830046 |
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| 基金项目： | 教育部跨世纪优秀人才培养计划 |
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| 摘 要： | 数字信号自动调制识别(AMR)有基于决策论和统计模式两种方法,该文提出一种将两者相结合的自动调制识别系统,利用提取决策论特征向量集和统计特征向量集相结合的特征参数,使用带动量项的自适应权重的BP神经网络对MASK,MFSK,MPSK,MQAM等4类信号进行分类识别。当信噪比在0-10dB,在估计载频与实际载频相差0-100Hz的情况下正确识别率仍高达97%以上,实验证明这种分类识别方法的鲁棒性和实用性。
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| 关 键 词： | 数字调制 特征提取 自动调制识别 神经网络 |
| 文章编号： | 1009-5896(2008)05-1203-03 |
| 收稿时间： | 2007-04-06 |
| 修稿时间： | 2007-04-06 |
An Automatic Modulation Recognizer Using Neural Networks Based on the Hybrid Mode |
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| Lai Hui-cheng, Chu Hui . An Automatic Modulation Recognizer Using Neural Networks Based on the Hybrid Mode[J]. Journal of Electronics & Information Technology, 2008, 30(5): 1203-1205. doi: 10.3724/SP.J.1146.2007.00515 |
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| Authors: | Lai Hui-cheng Chu Hui |
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| Affiliation: | College of Information Science & Engineering, Xinjiang University, Urumqi 830046, China |
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| Abstract: | On automatic modulation there are two approaches, decision-theoretic and statistical pattem. An automatic modulation recognition system to recognize four digital signal classes as MASK, MFSK, MPSK, MQAM is proposed in this paper, which using decision-theoretic based feature set addition to statistical pattem based feature set with momentum auto-adapted weight BP neural network. Performance is generally good when Signal to Noise Ratios (SNR) in 0-10dB, and the estimated carrier frequency differs from the actual carrier frequency of 0-100Hz, simulations show the results even larger than 97%, that confirm the robustness and practicability of this recognition method. |
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| Keywords: | Digital modulation Feature extraction Automatic Modulation Recognition(AMR) Neural network |
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