| 通信信号调制样式的自动识别 |
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| 引用本文： | 张志勇,张立民,兰天. 通信信号调制样式的自动识别[J]. 舰船电子工程, 2013, 0(12): 73-75 |
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| 作者姓名： | 张志勇 张立民 兰天 |
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| 作者单位： | [1]海军航空工程学院电子信息工程系,烟台264001 [2]海军航空工程学院科研部,烟台264001 [3]海军驻太原地区航空代表室,太原030006 |
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| 摘 要： | 针对卫星通信信号中常用的数字信号调制样式的自动识别问题，提出一种基于人工神经网络（ArtificialNeuralNet，ANN）的识别算法，该算法在几乎没有先验信息的条件下，以几种调相信号为基本模型，通过双隐层人工神经网络获取频谱特征，进而判别出不同信号的调制样式。仿真及实测数据验证表明，该算法在低信噪比条件下，随着神经元组合数量的增加，数字调制样识别的正确率有明显提高。
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| 关 键 词： | 人工神经网络 调制样式 自动识别 频谱特征 |
Automatic Recognition for Digital Modulations Common used in Communication |
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| Affiliation: | ZHANG Zhiyong ZHANG Liminz LAb/Tian3 (1. Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001) (2. Ministry of Scientific Research, Naval Aeronautical and Astronautical University, Yantai 264001) (3. Navy in Taiyuan Representative Office, Naval Aeronautical and Astronautical University, Taiyuan 030006) |
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| Abstract: | A recognition algorithm for digital modulations commonly used in communication is presented. Based on a set of statistical features through the double hidden layers of artificial neural network（ANN）, many digital modulated signals can be recognized through clas- sifying decision without any prior knowledge. The experiment results show that, the algorithm can work perfectly under a low SNR circum- stance with the increase of the number of neurons in combination. |
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| Keywords: | artificial neural networks modulation pattern automatic identification spectral characteristics |
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