Data Reading and Processing of Ground Penetrating Radar Based on Multi-Layered Noise Control Materials

Abstract:

Removing interferential noise of ground-penetrating radar(GPR) from the echo signal can accurately get the information of underground targets. Raw data reading is a critical step for GPR signal processing. In this paper, the data structure of RIS-K2 is analyzed. Some C++ programs have been written to read the raw data of GPR and the sampling points in form of decimal data are obtained. Then, the data are analyzed and processed with wavelet algorithm in MATLAB. The results show that the noise of the echo can be effectively removed with wavelet denoising method, and it is helpful to determine the underground targets accurately

• Periodical: Advanced Materials Research (Volume 459)
• Pages: 390-393
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.459.390
• Online since: January 2012
• Authors: Hui Xu, Jun Jie Ma
• Keywords: De-Noising Method, GPR, Multi-Layered Noise Control Materials, RIS-K2 Format, Underground Target, Wavelet Analysis

References

[1] Ji lijing, Shi Yanghang. Review in Engineering Applications and Development of Ground-Penetrating Radar Detection. Nondestructive Testing. 32(3), 201-217 (2010) (in Chinese).

[2] Annan A, P. GPR-history, Trends, and Future Developments. Subsurface Sensing Technologies and Applications. 3(4), 253-270 (2002).

[3] Li Xiangtang, Wang Duanyi, Zhang Xiaoning. Review and Prospects of Ground Penetrating Radar Technology. Nondestructive Testing. 28(9), 479-483 (2006) (in Chinese).

[4] He Ziqiang, Zhang Heng, Zhou Qicai, et al. RIS—K2 Ground Penetrating Radar Data Analysis and Processing. Chinese Journal of Engineering Geophysics. 4(6), 540-544 (2007) (in Chinese).

[5] Li Shixian, Jiang Aijun, Mei Xiaoyong, et al. Chinese Version of the C + + Primer. Beijing: People Post Press, (2006) (in Chinese).

[6] Meng Fanju. The Development of GPR Data Processing Software (Master Thesis). Beijing: China University of Geosciences, 2010 (in Chinese).

[7] Zhu Yanping, Song Yaoliang. Research on Wavelet Analysis Denoising in Pulse Compression Radar. Electronic Information Warfare Technology. 26(1), 17-20 (2011) (in Chinese).

[8] Liu Gang, Li Shucai, Xue Yiguo. GPR Signal Processing Approach under Low Signal to Noise Ratio Based on Wavelet Transforms and Its Application. Journal of Geotechnical Investigation & Surveying. (9), 85-90 (2009) (in Chinese).

[9] Zhang Defeng. MATLAB Wavelet Analysis. Beijing: Mechanical Industry Press, (2009) (in Chinese).

[10] Baili J., Lahouar S., Hergli M., et al. GPR Signal De-noising by Discrete Wavelet Transform. NDT & E International. 42(8), 696-703 (2009).

DOI: 10.1016/j.ndteint.2009.06.003

[11] Liu Xiujuan, Deng shikun, Xu Baolin. Noise Elimination from Wavelet Transform by Using GPR Signal. Journal of Geotechnical Investigation & Surveying. (10), 66-71 (2006) (in Chinese).