• Chinese Journal of Lasers
  • Vol. 36, Issue 5, 1068 (2009)
Zheng Fatai1、2、*, Hua Dengxin2, and Zhou Awei2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: Cite this Article Set citation alerts
    Zheng Fatai, Hua Dengxin, Zhou Awei. Empirical Mode Decomposition Algorithm Research & Application of Mie Lidar Atmospheric Backscattering Signal[J]. Chinese Journal of Lasers, 2009, 36(5): 1068 Copy Citation Text show less

    Abstract

    A noise reduction signal processing method of lidar atmospheric backscattering signal with the empirical mode decomposition (EMD)is propased, and the simulation in the system is confirmed by experiment. The noise reduction algorithm based on EMD is suitable for processing of pulse signal (e.g., Block, Bump, and pulse echoing, etc.). The algorithm is used for analyzing and processing Mie lidar atmospheric backscattering signal. It shows that the noise reduction method can reduce the noise in the atmospheric backscattering signal and provide primary data of high signal-to-noise ratio (SNR) for the extinction coefficient retrieval at the next level.
    Zheng Fatai, Hua Dengxin, Zhou Awei. Empirical Mode Decomposition Algorithm Research & Application of Mie Lidar Atmospheric Backscattering Signal[J]. Chinese Journal of Lasers, 2009, 36(5): 1068
    Download Citation