摘要
为了更好地提升经验模式分解(empirical mode decomposition,EMD)对于Mie散射激光雷达信号的去噪效果,提出了一种多层清除重复间隔阈值(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(EMDIIT)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 at improving the EMD denoising performanc for the Mie scattering radar signals, a muhiple clear iterative interval-thresholding(EMD-MCIIT) is used in EMD denoising. The multiple IMFs is firstly employed and the alter function is used to change the noise signals, and then the signal is denoised by the iterative interval-thresholding. Through simulation and the experiment of real radar returning signals, it turns out that compared with the traditional EMD threshoding methods the proposed approach can denoise effectively and the SNR is improved. Therefore ,the deinonstrated technique has a promising future.
出处
《中国民航大学学报》
CAS
2013年第5期5-8,共4页
Journal of Civil Aviation University of China
基金
天津市科技支撑计划重点项目(10ZCKFGX04000)
中央高校基本科研业务费专项(ZXH2012D001)
关键词
经验模式分解
多层重复间隔阈值
Mie散射激光雷达
去噪
experience mode deposition (EMD)
multiple clear iterative interval
threshoding (EMD-MCIIT)
Miescattering lidar
deuoising