摘要
为了更好提升经验模式分解(Empirical Mode Decomposition,EMD)对于mie散射激光雷达信号的去噪效果,本文提出了一种多层重复间隔阈值(EMD-MCIIT)的EMD去噪方法。首先,对多层固有模态函数(Intrinsic Mode Function,IMF)进行去噪,应用alter函数对信号分量进行改变。然后,应用重复间隔阈值(EMD-IIT)对信号进行滤波。通过信号仿真以及mie散射激光雷达真实回波信号的实验进行验证,与传统的EMD阈值方法进行比较,结果表明该方法可以有效地去噪,信噪比有了较大的提升,因此具有很好的应用前景。
Aiming to improve the performance of EMD Denoising the mie scattering lidar signals ,this paper demonstrate the Multiple clear iterative interval-thresholding （EMD-MCIIT） used in EMD denoising . To begin with ,denoising the multiple IMFs, the alter function is used to change the noise signals , and then by the iterative interval-thresholding the signal is de-noised. Through the stimulation and the experiment of real lidar return signals, it＇s turned out that he proposed approach can denoise effectively ,the SNR is improved ,compared with the traditional EMD threshoding methods. Therefor ,the demonstrated technique has a promising future.
出处
《科技信息》
2013年第21期54-55,57,共3页
Science & Technology Information
基金
天津市科技支撑计划重点项目 项目编号为10ZCKFGX04000
中央高校基金项目研究成果
项目编号为ZXH2012D001
关键词
经验模式分解
多层重清噪重复间隔EMD阈值
mie散射激光雷达
去噪
Experience mode deposition（EMD）
Multiple clear iterative interval threshoding（EMD-MCIIT）
Mie scattering lidar
Denoising
