| 张冬冬,郝明磊,行鸿彦.EEMD在激光测云仪后向散射信号处理中的应用[J].电子测量与仪器学报,2017,31(10):1589-1595 |
| EEMD在激光测云仪后向散射信号处理中的应用 |
| Application of EEMD in laser ceilometer backscattering signal processing |
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| DOI：10.13382/j.jemi.2017.10.009 |
| 中文关键词: 激光云高仪 集成经验模式分解 后向散射信号 去噪 |
| 英文关键词:laser ceilometer ensemble empirical mode decomposition (EEMD) backscattering signal denoising |
| 基金项目:国家自然科学基金（61671248）、江苏省高校自然科学研究重大项目（15KJA460008）、江苏省“六大人才高峰”计划和江苏省“信息与通信工程”优势学科资助 |
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| Author | Institution |
| Zhang Dongdong | 1. College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Air Force Research Institute of Aviation Meteorology, Beijing 100085, China |
| Hao Minglei | Air Force Research Institute of Aviation Meteorology, Beijing 100085, China |
| Xing Hongyan | College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China |
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| 中文摘要: |
| 激光测云仪后向散射信号是典型的非线性、非稳态信号，容易受噪声污染。针对该问题采用集成经验模态分解(EEMD)去噪算法进行处理，首先对含噪信号进行经验模态分解（EMD），将分解后的IMF分量进行自相关性分析，找出含噪占有量较大的IMF分量，对其进行SG（savitzky golay)滤波，最后将滤波后的IMF分量和剩余分量进行信号的重构。经仿真实验结果表明，与传统的EMD方法相比，EEMD方法处理含噪信号后的输出信噪比提高了1.695 dB，均方误差平均降低了30%以上，说明该方法可以适用于非线性、非稳态的后向散射回波信号去噪处理，能为激光测云仪下一级的云底高度反演提供高信噪比的初始数据。 |
| 英文摘要: |
| The backscattering signal of laser ceilometer as a typical nonlinear and non stationary signal is susceptible to be polluted by noise. Aiming at this problem, the ensemble empirical mode decomposition (EEMD) denoising method is applied. Firstly, we use EEMD to decompose the noise signal and analyze the decomposition of the IMF component, then find out the larger component of IMF. Finally, we reconstruct the IMF component and the rest of the components signal after using Savitzky Golay (SG) filter. The simulation and experiment results show that compared with the traditional empirical mode decomposition(EMD) method, the signal to noise ratio based on the EEMD method after processing increases 1.695 dB, the mean square error decreases by an average of more than 30%. It is shown that the method is suitable for nonlinear and non stationary characteristics for the scattering echo signal processing, and able to provide the high signal to noise ratio of the initial data by laser ceilometer for the next level cloud base height inversion. |
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