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一种基于ITD和高阶累积量的OFDM识别算法 被引量:1

Automatic Modulation Recognition Algorithm for OFDM Based on ITD and High Order Cumulants
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摘要 针对正交频分复用(OFDM)与单载波调制识别,提出了一种基于固有时间尺度分析(ITD)和高阶累积量的识别方法。通过ITD分解待识别信号,提取固有旋转分量的瞬时幅度,利用其复信号幅值高阶累积量区分OFDM和单载波信号,并利用改进和提出的特征参数识别单载波信号。通过MATLAB仿真表明在信噪比不小于5dB的情况下,OFDM信号的识别准确率达99%。 Aiming at the automatic modulation recognition of OFDM signal and single carrier modulation,a recognition method based on ITD and high-order cumulants has been proposed in this paper.By decomposing the unknown signal using ITD,the instantaneous amplitude of the inherent rotating components is extracted.By analyzing the normalized fourth-order cumulants features of the complex signal amplitude,modulation recognition of OFDM signal and single carrier signals is achieved,and modulation recognition of single carrier signals are also achieved by new feature parameters proposed.When SNR is not less than 5dB,the simulation results on MATLAB indicate that identification probability of this proposed method is up to 99%.
出处 《压电与声光》 CSCD 北大核心 2015年第1期183-186,共4页 Piezoelectrics & Acoustooptics
基金 国家自然科学重大基金资助项目(60990320 60990323) 国家高技术研究发展计划("八六三"计划)重大基金资助项目(2012AA012305) 国家自然科学基金面上资助项目(61271090) 四川省科技支撑计划基金资助项目(2012GZ0101)
关键词 调制识别 正交频分复用(OFDM) 特征参数 固有时间尺度分析(ITD) 高阶累积量 modulation recognition OFDM feature extraction ITD higher-order cumulants
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