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Application of a Combined Denoising Method in Ground Penetrating Radar Signal Pre-processing

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aiming at the difficulties of low signal-to-noise ratio (SNR) and difficulty of extracting the features in step frequency continuous wave ground penetrating radar (SFCW-GPR) echo pre-processing, a new method of echo pre-processing combined with wavelet threshold denoising algorithm and high-pass filter is proposed. The combined method realizes the extraction of useful signals with slowly changing speed by multi-resolution analysis of signals containing Gauss white noise. Compared with traditional processing methods, the wavelet threshold denoising algorithm has higher SNR and smaller mean square error (MSE) and has better processing effect and imaging effect.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages203-207
Number of pages5
ISBN (Electronic)9781728116983
DOIs
StatePublished - Aug 2019
Externally publishedYes
Event16th IEEE International Conference on Mechatronics and Automation, ICMA 2019 - Tianjin, China
Duration: 4 Aug 20197 Aug 2019

Publication series

NameProceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019

Conference

Conference16th IEEE International Conference on Mechatronics and Automation, ICMA 2019
Country/TerritoryChina
CityTianjin
Period4/08/197/08/19

Keywords

  • Ground Penetrating Radar
  • Remote Sensor
  • Signal Processing
  • Wavelet Threshold Function

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