| CFO条件下的OFDM子载波调制样式识别方法 |
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| 引用本文： | 朱立为,王翔,王垚,王丰华,黄知涛. CFO条件下的OFDM子载波调制样式识别方法[J]. 国防科技大学学报, 2023, 45(5): 131-139 |
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| 作者姓名： | 朱立为 王翔 王垚 王丰华 黄知涛 |
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| 作者单位： | 国防科技大学 电子科学学院, 湖南 长沙 410073;国防科技大学 电子科学学院, 湖南 长沙 410073;国防科技大学 电子对抗学院, 安徽 合肥 230037 |
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| 基金项目： | 湖南省自然科学创新群体资助项目(2019JJ10004) |
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| 摘 要： | 提出了一种基于信号幅度分布特征与多次方谱线特征相结合的调制样式识别算法。该算法主要基于正交解调后的正交频分复用子载波信号的幅度分布特征，采用直方图统计的方法实现多进制相移键控和多进制正交幅度调制识别，用多方次谱特征实现多进制相移键控类的调制识别。相比基于经典的高阶累积量的调制识别算法，具有更好的载波频率残留偏差适应能力，在载波频率偏差条件下，提高了调制识别率；相比循环平稳方法，具有更好的信噪比适应能力。仿真实验结果表明了该方法的有效性，相同的识别率下能适应更低的信噪比。
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| 关 键 词： | 正交频分复用 调制识别 直方图统计 载波频偏 |
| 收稿时间： | 2021-09-02 |
Modulation classification method for OFDM subcarrier under carrier frequency offset |
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| ZHU Liwei,WANG Xiang,WANG Yao,WANG Fenghu,HUANG Zhitao. Modulation classification method for OFDM subcarrier under carrier frequency offset[J]. Journal of National University of Defense Technology, 2023, 45(5): 131-139 |
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| Authors: | ZHU Liwei WANG Xiang WANG Yao WANG Fenghu HUANG Zhitao |
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| Affiliation: | College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China; College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China;College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China |
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| Abstract: | A modulation recognition algorithm based on signal amplitude distribution and higher-order spectral characteristics was presented. The algorithm mainly utilized the amplitude distribution of orthogonal frequency division multiplexing subcarrier signal after orthogonal demodulation by inverse Fourier transform, realized multiplexing phase shift key and orthogonal amplitude modulation recognition by histogram statistics, and the modulation order in the multiplexing phase shift key class was recognized by multi-spectral analysis. Compared with the classical modulation recognition algorithm based on high-order cumulant, it has better adaptability to carrier frequency residual deviation, and the recognition rate is improved under the condition of carrier frequency offset. Compared with the cyclostationary method, it has better signal-to-noise ratio adaptability. The simulation results show the effectiveness of this method. Under the same recognition rate, the adaptability is improved. The simulation results show the effectiveness of this method. |
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| Keywords: | orthogonal frequency division multiplexing signal recognition histogram statistics CFO |
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