| 一种基于高阶累积量的复杂调制样式识别方法 |
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| 引用本文： | 解 辉,姚智刚,马俊涛,吕 萌,史 林.一种基于高阶累积量的复杂调制样式识别方法[J].国际商务研究,2019(8). |
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| 作者姓名： | 解 辉 姚智刚 马俊涛 吕 萌 史 林 |
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| 作者单位： | 陆军工程大学石家庄校区 电子与光学工程系，石家庄 050003,陆军工程大学石家庄校区 电子与光学工程系，石家庄 050003,陆军工程大学石家庄校区 电子与光学工程系，石家庄 050003,陆军工程大学石家庄校区 电子与光学工程系，石家庄 050003,陆军工程大学石家庄校区 电子与光学工程系，石家庄 050003 |
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| 基金项目： | 国防科技基金资助项目（2004022） |
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| 摘 要： | 针对卫星数字化视频广播第二代标准（Digital Video Broadcasting-Satellite-Second Generation，DVB-S2）中多进制幅度移相键控（Multiple Amplitude and Phase-Shift Keying，MAPSK）和多进制正交幅度调制（Multiple Quadrature Amplitude Modulation，MQAM）信号的调制识别，提出了基于高阶累积量的识别方法。首先对16QAM、32QAM、16APSK、32APSK信号的高阶累积量及其特征进行分析，进而利用其高阶累积量的不同提取用于信号分类的特征参量进行调制识别。给出了算法的详细流程，并对算法进行了仿真分析，结果表明，当样本数越多时，算法信噪比适应能力越好，而与相位偏差无关；在信号样点数为2 048点且信噪比为10 dB时，算法可实现96%的正确识别率，完全满足实际系统对信号分类的需要。
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| 关 键 词： | DVB-S2 MAPSK MQAM 调制识别 高阶累积量 |
A complex modulation pattern recognition method based on higher order cumulants |
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| XIE Hui,YAO Zhigang,MA Juntao,LYU Meng and SHI Lin.A complex modulation pattern recognition method based on higher order cumulants[J].International Business Research,2019(8). |
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| Authors: | XIE Hui YAO Zhigang MA Juntao LYU Meng and SHI Lin |
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| Institution: | Department of Electronic and Optics Engineering,Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China,Department of Electronic and Optics Engineering,Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China,Department of Electronic and Optics Engineering,Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China,Department of Electronic and Optics Engineering,Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China and Department of Electronic and Optics Engineering,Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China |
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| Abstract: | For modulation recognition of multiple amplitude and phase-shift keying(MAPSK) and multiple quadrature amplitude modulation(MQAM) signals in digital video broadcasting - satellite - second generation(DVB-S2) standard,a recognition method based on high order cumulants is proposed.Firstly,the higher order cumulants and characteristics of 32QAM,16QAM,16APSK,32APSK signals are analyzed,and then using the higher order cumulants,the classification of signal characteristic parameters is extracted to identify the modulation.The detailed process of the algorithm is provided,and the simulation analysis is given.The results show that the algorithm has better signal-to-noise ratio(SNR) adaptability when the sample size is larger,regardless of phase deviation.When the sample point of signal is 2 048 and the SNR is 10 dB,the algorithm can achieve a correct recognition rate of 96%,fully meeting the needs of the actual system for signal classification. |
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