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

被引：0

作者：

Xu, Dingjie ^{[1
]}

Wu, Yuxuan ^{[1
]}

Shen, Feng ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Instrumentat Sci & Engn, Harbin, Heilongjiang, Peoples R China

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA) | 2019年

基金：

中国国家自然科学基金;

关键词：

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

D O I：

10.1109/icma.2019.8816472

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：203 / 207

页数：5

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