|
|
A real-time correction method based on time-varying zero offset for the equivalent sampling of ground penetrating radars |
FENG Wen-Ya( ), CHENG Dan-Dan, WANG Cheng-Hao, CHENG Xing |
China Research Institute of Radio Propagation,Qingdao 266107,China |
|
|
Abstract Echoes can be distorted due to the temperature drift of the ground penetrating radar (GPR) system,the low-pass effect of lossy media,and the decline in the coupling between the antenna and the ground.The mixing of effective radar echoes and zero-offset components makes it difficult to detect weak signals.The conventional front-end correction and post-processing methods,which aim to improve the transmission efficiency and remove the clutter noise,fail to improve the signal-to-noise ratio (SNR) and sensitivity of the system.To overcome these obstacles,this study improved the equivalent sampling circuit using a real-time correction method based on time-varying zero offset.Specifically,the zero-offset coefficient of each sampling was controlled separately and was updated in real time on each sampling.No DC and low-frequency components were sent into the subsequent programmable amplifier along with effective signals,ensuring the correct acquisition of weak signals and the dynamic range of the system.Experiments have proved the validity and feasibility of this method,which has been applied to a new type of digital GPR product.
|
Received: 21 December 2021
Published: 27 April 2023
|
|
|
|
|
|
Block diagram of equivalent sampling time-varying zero-offset correction circuit
|
|
Schematic diagram of equivalent sampling time-varying zero zero-offset
|
|
Block diagram of time-varying zero-offset real-time correction algorithm
|
|
Comparison of B-Scan data of 400 MHz antenna a—B-Scan without zero-offset correction;b—B-Scan with fixed zero-offset correction;c—B-Scan with time-varying zero-offset correction
|
|
Comparison of A-Scan data of 400 MHz antenna
|
|
Spectrum comparison of A-Scan data of 400 MHz antenna
|
[1] |
Niklas A, Jens T. Ground-penetrating radar surveying using antennas with different dominant frequencies[C]// 18th International Conference on Ground Penetrating Radar, 2020.
|
[2] |
Che M, Ariffuddin J, Maryanti R, et al. Frequency based signal processing technique for pulse modulation ground penetrating radar system[J]. International Journal of Electrical and Computer Engineering, 2021, 11(5):4104-4112.
|
[3] |
Cao Q, Al-Qadi I L. Signal stability and the height-correction method for ground-penetrating Radar In Situ Asphalt concrete density prediction[J]. Transportation Research Record Journal of the Transportation Research Board, 2021, 4(2):1-12.
|
[4] |
Arvind S, Phong N, Kenneth A. A highly-digital multi-antenna ground-penetrating radar(GPR) system[J]. IEEE Transactions on Instrumentation and Measurement, 2019, 26(5):94-109.
|
[5] |
Fiseha N B, Yeong T C, Sung J L. Development of GPR device and analysis method to detect thickness of Ballast layer[J]. Journal of the Korean Society for Railway, 2020, 23(3):269-278.
|
[6] |
Surajit K. A compact uniplanar ultra-wideband frequency selective surface for antenna gain improvement and ground penetrating radar application[J]. International Journal of RF and Microwave Computer-Aided Engineering, 2020, 28(6):22-36.
|
[7] |
张斯薇, 吴荣新, 韩子傲, 等. 双边滤波在探地雷达数据去噪处理中的应用[J]. 物探与化探, 2021, 45(2):496-501.
|
[7] |
Zhang S W, Wu R X, Han Z A, et al. The application of bilateral filtering to denoise processing of ground penetrating radar data[J]. Geophysical and Geochemical Exploration, 2021, 45(2):496-501.
|
[8] |
王超, 沈斐敏. 小波变换在探地雷达弱信号去噪中的研究[J]. 物探与化探, 2015, 39(2):421-424.
|
[8] |
Wang C, Shen F M. Study of wavelet transform in ground penetration radar weak signal denoising[J]. Geophysical and Geochemical Exploration, 2015, 39(2):421-424.
|
[9] |
Wenchao H, Tong H, Hainan K, et al. Joint time-frequency analysis of ground penetrating radar data based on variational mode decomposition[J]. Journal of Applied Geophysics, 2020, 23(7):164-181.
|
[10] |
Mansi A H, Castillo M P, Bernasconi G. Controlled laboratory test for the investigation of LNAPL contamination using a 2.0 GHz ground penetrating radar[J]. Bollettino Di Geofisica Teorica Ed Applicata, 2017, 58(3):169-180.
|
[11] |
Yang J, Yun L D. 2D wavelet decomposition and F-K migration for identifying fractured rock areas using Ground Penetrating Radar[J]. Remote Sensing, 2021, 13(6):2280-2299.
|
[12] |
Christine D, Sajad J. Resolution enhancement of deconvolved ground penetrating radar images using singular value decomposition[J]. Journal of Applied Geophysics, 2021, 25(6):193-200.
|
[13] |
薛策文, 冯晅, 李晓天, 等. 全极化探地雷达多极化数据融合分析研究[J]. 雷达学报, 2021, 10(1):74-85.
|
[13] |
Xue C W, Feng X, Li X T, et al. Multi-polarization data fusion analysis of full-polarimetric ground penetrating radar[J]. Journal of Radars, 2021, 10(1):74-85.
|
[14] |
Brocker B, Dowdy J L, Anderson D T. Generative adversarial networks for ground penetrating radar in hand held explosive hazard detection[C]// Detection and Sensing of Mines,Explosive Objects,and Obscured Targets, 2018.
|
[15] |
齐轩晨. 面向道路检测的探地雷达系统设计与实现[D]. 南京: 南京邮电大学, 2019.
|
[15] |
Qi X C. Design and implementation of ground penetrating radar system for road detection[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2019.
|
[16] |
周炀. 基于FPGA的浅地表电磁探测实时数据处理技术研究[D]. 长春: 吉林大学, 2020.
|
[16] |
Zhou Y. Researh on the real-time data processing technology for shallow surface electromagnetic detection based on FPGA[D]. Changchun: Jilin University, 2020.
|
[17] |
何兴坤. 单通道脉冲探地雷达系统软件设计与开发[D]. 武汉: 华中科技大学, 2019.
|
[17] |
He X K. Software design and development of single channel impulse ground penetrating radar system[D]. Wuhan: Huazhong University of Science and Technology, 2019.
|
[1] |
WU Song, NING Xiao-Bin, YANG Ting-Wei, JIANG Hong-Liang, LU Chao-Bo, SU Yu-Di. Neural network-based denoising for ground-penetrating radar data[J]. Geophysical and Geochemical Exploration, 2023, 47(5): 1298-1306. |
[2] |
ZENG Bo, LIU Shuo, YANG Jun, FENG De-Shan, YUAN Zhong-Ming, LIU Jie, WANG Xun. Influence of surface undulations on GPR-based underground pipeline detection[J]. Geophysical and Geochemical Exploration, 2023, 47(4): 1064-1070. |
|
|
|
|