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Research on Range Profile Target Detection Algorithm of Stepped-Frequency Ground Penetrating Radar

Published: 15 March 2023 Publication History

Abstract

Stepped-frequency ground penetrating radar (SFGPR) is a non-destructive detection method that transmits continuous waves to the target through the antenna and receives the echo through the antenna after reflection and refraction. After data processing, the position of the underground target and the distribution of the medium inside the target can be determined. Therefore, it is crucial to accurately determine the location of the target. In this paper, after smoothing, threshold setting and target wave peak judgment of the one-dimensional range profile of the SFGPR, a more accurate peak can be detected by using the weighted average method. The algorithm can not only make up for the shortcomings of strict waveform requirements in Gaussian fitting but also be simple to understand and more accurate in peak localization compared with Gaussian fitting peak search.

References

[1]
Peng Jian, Yang Zefan, Bai Jie, Meng Xu, Liu Hai. A method for estimating the buried depth of underground pipelines based on ground penetrating radar [J]. Radar Science and Technology, 2022, 20 (01): 79-86.
[2]
Butchibabu B, Jha P C, Sandeep N, Delineation of Water Seepage Flow Path in the Underground Metro Rail Tunnel Using Cross-Hole GPR Tomography: A Case Study [M]//Proceedings of Geotechnical Challenges in Mining, Tunneling, and Underground Infrastructures. Springer, Singapore, 2022: 371-382.
[3]
Kravets I, Luchko J, Kovalchuk V. GPR method as a non-destructive method for subgrade monitoring [J]. 2019.
[4]
D'Amico F, Gagliardi V, Ciampoli L B, Integration of In SAR and GPR techniques for monitoring transition areas in railway bridges [J]. NDT & E International, 2020, 115: 102291.
[5]
Sun Y, Lu X, Zhang S. Compressive sensing SFGPR imaging algorithm based on subspace projection ground clutter suppression [J]. Progress In Electromagnetics Research M, 2016, 47: 87-97.
[6]
V. Kafedziski, "Compressive Sampling Stepped Frequency Ground Penetrating Radar Using Group Sparsity and Markov Chain Sparsity Model," 2019 14th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), 2019, pp. 265-268.
[7]
Chen Yong, Wang Kun, Liu Huanlin, Chen Lijuan, Yang Xue. Three-point peak-seeking algorithm for processing fiber Bragg grating sensing signals [J]. Optical Precision Engineering, 2013, 21(11): 2751-2756.
[8]
Zhao Mingbo, He Jun, Fu Qiang. A review of fast algorithms for CFAR detection of SAR images [J]. Journal of Automation, 2012, 38(12): 1885-1895.
[9]
Chen Chuan, Ge Liangquan, Gu Yi, Liang Liang, Xie Rukuan, Li Jian. Analytical study of high statistical fluctuation spectral line peak position by symmetric zero area method [J]. Nuclear electronics and detection technology, 2016, 36 (02): 229-231.
[10]
Guo Xiaotong, Yan Qiuxiang. Research on asymmetric Gaussian fitting peak-seeking algorithm based on FPGA state machine [J]. Electronic Design Engineering, 2018, 26 (1): 161-165.
[11]
Hu Zhengwen, Pang Chengxin, Cheng Fengyu. Application of Gaussian-LM algorithm for peak finding in fiber Bragg grating reflection spectroscopy [J]. Advances in Lasers and Optoelectronics, 2017, 54(1): 013001.
[12]
Jiang Yun, Kang Zhihui, Wang Congshi, Gao Jinyue. The least square method is used to fit the multi-peak data and accurately solve the center position of the curve peak [J]. Physical experiment, 2003, (11): 38-39.

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  1. Research on Range Profile Target Detection Algorithm of Stepped-Frequency Ground Penetrating Radar

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    EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
    October 2022
    1999 pages
    ISBN:9781450397148
    DOI:10.1145/3573428
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 15 March 2023

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    Author Tags

    1. Gaussian fitting
    2. SFGPR
    3. peak detection
    4. range profile
    5. weighted average

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