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

Li Meng; Jiang Lihui; Xiong Xinglong; Feng Shuai

doi:10.11884/HPLPB201426.111002

Volume 26 Issue 11

Sep. 2015

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Article Navigation > High Power Laser and Particle Beams > 2014 > 26(11): 111002

Shao Ruoyan, Liu Jianjun, Wu Ruihua, et al. Pulsed xenon lamp power supply[J]. High Power Laser and Particle Beams, 2019, 31: 021001. doi: 10.11884/HPLPB201931.180331

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

Shao Ruoyan, Liu Jianjun, Wu Ruihua, et al. Pulsed xenon lamp power supply[J]. High Power Laser and Particle Beams, 2019, 31: 021001. doi: 10.11884/HPLPB201931.180331

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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

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.
- empirical mode decomposition(EMD),
- mode-mixing,
- EMD switch interval thresholding(EMD-SIT),
- lidar,
- denoising

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