Volume 26 Issue 11
Sep.  2015
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Article Navigation >  High Power Laser and Particle Beams  > 2014  >  26(11): 111002
Lei Chunxia, Ren Yunpeng, Gan Yong, et al. Effect of optical properties on the thermal responses of copper films induced by ultrafast lasers[J]. High Power Laser and Particle Beams, 2017, 29: 071006. doi: 10.11884/HPLPB201729.170017
Citation: Li Meng, Jiang Lihui, Xiong Xinglong, et al. Denoising method using empirical mode decomposition with switchable interval threshold for lidar signals[J]. High Power Laser and Particle Beams, 2014, 26: 111002. doi: 10.11884/HPLPB201426.111002
shu

Denoising method using empirical mode decomposition with switchable interval threshold for lidar signals

doi: 10.11884/HPLPB201426.111002
  • 1.

    Tianjin Key Laboratory for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China

  • Received Date: 2014-02-24
  • Rev Recd Date: 2014-07-15
  • Publish Date: 2014-11-04
    Abstract
  • Using the empirical mode decomposition direct threshold (EMD-DT) and empirical mode decomposition interval threshold (EMD-IT) to de-noise lidar return signals, aiming to solve the problem of mode-mixing, a method of EMD switch interval threshold (EMD-SIT) is applied. Firstly, the signal is processed by the use of EMD. Then the decomposed intrinsic mode functions (IMF) with noise are removed by zero-crossing rate method. Finally ,by the use of the zero-crossing threshold, a switch interval threshold is obtained, which combines the EMD-IT and EMD-DT to de-noise the noise signals. The comparisons of different thresholds and the de-noise experiment of lidar shows that noise can be removed effectively by the proposed method, meantime the mode mixing is restrained. Compared with EMD-DT and EMD-IT methods, EMD-SIT method has more advantages Therefore ,the demonstrated method has a promising future.
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