Acta Photonica Sinica, Volume. 45, Issue 7, 70701002(2016)

De-noising Method for Mie Scattering Lidar Echo Signal Based on Wavelet Theory

ZHOU Zhi-rong1,2、*, HUA Deng-xin1, YANG Rong1, YAN Qing1, CHEN Hao1, and SONG Yue-hui1
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  • 1[in Chinese]
  • 2[in Chinese]
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    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.

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    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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    Paper Information

    Received: Dec. 11, 2015

    Accepted: --

    Published Online: Aug. 18, 2016

    The Author Email: Zhi-rong ZHOU (zzr@zemic.com.cn)

    DOI:10.3788/gzxb20164507.0701002

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