• Chinese Optics Letters
  • Vol. 2, Issue 1, 0101 (2004)
Haitao Fang1、2 and Deshuang Huang1
Author Affiliations
  • 1Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031
  • 2Automatization Department of University of Science and Technology of China, Hefei 230026
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    Haitao Fang, Deshuang Huang. Lidar signal de-noising based on wavelet trimmed thresholding technique[J]. Chinese Optics Letters, 2004, 2(1): 0101 Copy Citation Text show less

    Abstract

    Lidar is an efficienttool for remote monitoring, but the effective range is often limited by signal-to-noise ratio (SNR). By the power spectralestimation, we find that digital filters are not fit for processing lidar signals buried in noise. In this paper, we present a new method of the lidar signal acquisition based on the wavelet trimmed thresholding technique to increase the effective range of lidar measurements. The performance of our method is investigated by detecting the real signals in noise. Theexperiment results show that our approach is superior to the traditional methods such as Butterworth filter.
    Haitao Fang, Deshuang Huang. Lidar signal de-noising based on wavelet trimmed thresholding technique[J]. Chinese Optics Letters, 2004, 2(1): 0101
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