• Acta Photonica Sinica
  • Vol. 45, Issue 7, 70701002 (2016)
ZHOU Zhi-rong1、2、*, HUA Deng-xin1, YANG Rong1, YAN Qing1, CHEN Hao1, and SONG Yue-hui1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/gzxb20164507.0701002 Cite this Article
    ZHOU Zhi-rong, HUA Deng-xin, YANG Rong, YAN Qing, CHEN Hao, SONG Yue-hui. De-noising Method for Mie Scattering Lidar Echo Signal Based on Wavelet Theory[J]. Acta Photonica Sinica, 2016, 45(7): 70701002 Copy Citation Text show less

    Abstract

    According to the characteristics of Mie scattering lidar echo signal contaminated by noise in day background light, a de-noising method of wavelets was presented. The daylight direct current component was removed by wavelet transform, and the white noise from background light and electrical noise from detection system were reduced by wavelets soft threshold. To verify the feasibility of the de-noising method, Mie scattering atmospheric lidar echo signal was actually extracted and retrieved, the test results show that the effective detection range can be improved from 2.5 km to 5 km, and the contamination from electric noise and the background light noise can be reduced by the proposed method in measurement of experimentations.
    ZHOU Zhi-rong, HUA Deng-xin, YANG Rong, YAN Qing, CHEN Hao, SONG Yue-hui. De-noising Method for Mie Scattering Lidar Echo Signal Based on Wavelet Theory[J]. Acta Photonica Sinica, 2016, 45(7): 70701002
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