| 基于AR模型的调制盲识别方法 |
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| 引用本文： | 戴威,王有政,王京.基于AR模型的调制盲识别方法[J].电子学报,2001,29(Z1):1890-1892. |
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| 作者姓名： | 戴威 王有政 王京 |
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| 作者单位： | 清华大学电子工程系微波与数字通信国家重点实验室, 北京, 100084 |
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| 摘 要： | 针对调制方式的盲识别,本文通过自回归模型提取特征参数,并采用k近邻法进行分类识别.仿真结果表明,这种方法可以在-1dB的极低信噪比条件下识别信号的调制方式,并且其性能受中心频率偏移和抽样频率变化的影响很小.
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| 关 键 词： | 调制识别 盲识别 自回归模型 软件无线电 |
| 文章编号： | 0372-2112(2001)12A-1890-03 |
| 收稿时间： | 2001-07-18 |
| 修稿时间： | 2001年7月18日 |
A Blind Modulation Recognition Method Based on AR Model |
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| DAI Wei,WANG You-zheng,WANG Jing.A Blind Modulation Recognition Method Based on AR Model[J].Acta Electronica Sinica,2001,29(Z1):1890-1892. |
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| Authors: | DAI Wei WANG You-zheng WANG Jing |
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| Affiliation: | State Key Laboratory on Microwave & Digital Communications, Dept.of Electronic Engineering, Tsinghua University, Beijing 100084, China |
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| Abstract: | To classify modulations blindly,this paper employs autoregressive models to generate feature parameters and the knearest-neighbour method to classify modulation types.Simulation results indicate that this method can classify modulations in a very low SNR environment such as -1dB,and be robust to the frequency offset and the dynamic change of sample frequency. |
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| Keywords: | modulation recognition blind recognition autoregressive model software radio |
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