| 基于循环自相关的OFDM调制识别方法 |
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| 引用本文： | 王玉娥,张天骐,白娟,包锐.基于循环自相关的OFDM调制识别方法[J].电视技术,2012,36(5):44-48. |
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| 作者姓名： | 王玉娥 张天骐 白娟 包锐 |
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| 作者单位： | 重庆邮电大学信号与信息处理重庆市重点实验室,重庆,400065 |
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| 基金项目： | 国家自然科学基金，国家自然科学基金-中物院NSAF联合基金，教育部新世纪优秀人才支持计划项目，信号与信息处理重庆市市级重点实验室建设项目，重庆市自然科学基金 |
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| 摘 要： | 针对通信信号的调制识别问题,首先根据通信信号的循环平稳性,提出一种基于循环自相关的OFDM信号和单载波信号的调制识别算法,然后将小波多分辨分析理论与调制信号的瞬时特征以及高阶累积量相结合,提出一种基于小波分解的单载波信号识别方法,在此基础上采用分层结构的神经网络分类器对OFDM,2ASK,4ASK,2PSK,4PSK,8PSK,16QAM这7种调制信号进行识别。仿真结果表明该方法具有良好的分类性能,且对噪声不敏感。
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| 关 键 词： | OFDM 调制识别 小波 瞬时特征 高阶累积量 神经网络 |
Recognition of OFDM Signals Based on Cyclic Autocorrelation |
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| WANG Yu'e
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ZHANG Tianqi
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BAI Juan
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BAO Rui.Recognition of OFDM Signals Based on Cyclic Autocorrelation[J].Tv Engineering,2012,36(5):44-48. |
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| Authors: | WANG Yu'e ZHANG Tianqi BAI Juan BAO Rui |
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| Affiliation: | ( Chongqing Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China) |
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| Abstract: | For the problem of modulation recognition of communication signals,an algorithm based on cyclic autocorrelation is proposed to recognize OFDM signals and single-carrier signals according to the cycle-stationarity of communication signals.Then a single-carrier signals recognition method is proposed based on wavelet decomposition which combines wavelet theory of multiresolution analysis with modulated signals’ instantaneous characteristics and high-order cumulants.What’s more,a hierarchical neural network classifier is used to identify seven kinds of modulation signals as OFDM,2ASK,4ASK,2PSK,4PSK,8PSK,16QAM.The simulation results show that the method is high in performance and not sensitive to noise. |
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| Keywords: | OFDM modulation identification wavelet instantaneous characteristic high-order cmulants neural network |
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