scholarly journals Locating Underground Pipe Using Wideband Chaotic Ground Penetrating Radar

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2913 ◽  
Author(s):  
Jingxia Li ◽  
Tian Guo ◽  
Henry Leung ◽  
Hang Xu ◽  
Li Liu ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Chaotic Signal ◽  
Projection Algorithm ◽  
Back Projection ◽  
Probe Signal ◽  
Echo Signal ◽  
Buried Pipes ◽  
Range Resolution ◽  
Detectable Range ◽  
Ground Penetrating

An experimental wideband chaotic ground penetrating radar is proposed to locate underground pipes. A chaotic signal with a bandwidth of 1.56 GHz is utilized as the probe signal. The localization of the pipes is achieved by correlating the chaotic echo signal with its delayed duplicate and back-projection algorithm. Experimental results demonstrate that plastic pipe, metallic pipe, and multiple pipes can be located with a range resolution of 10 cm. Limited by the height of the sand, the detectable range is estimated to be 0.7 m for both the plastic pipes and the metallic pipes when the transmitting power is −12 dBm. The proposed system has the potential to detect buried pipes, and it is suitable for geological and civil engineering applications.

scholarly journals Back-projection algorithm based on self-correlation for ground-penetrating radar imaging

2015 ◽  
Vol 9 (1) ◽  
pp. 095059 ◽  
Author(s):  
Hairu Zhang ◽  
Shan Ouyang ◽  
Guofu Wang ◽  
Jingjing Li ◽  
Suolu Wu ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Radar Imaging ◽  
Projection Algorithm ◽  
Back Projection ◽  
Ground Penetrating

scholarly journals A High-Resolution Leaky Coaxial Cable Sensor Using a Wideband Chaotic Signal

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4154
Author(s):  
Hang Xu ◽  
Jun Qiao ◽  
Jianguo Zhang ◽  
Hong Han ◽  
Jingxia Li ◽  
...  
Keyword(s):  
High Resolution ◽  
Dynamic Range ◽  
Chaotic Signal ◽  
Coaxial Cable ◽  
Probe Signal ◽  
Echo Signal ◽  
Robust Performance ◽  
Range Resolution ◽  
System A ◽  
Before And After

A high-resolution leaky coaxial cable (LCX) sensor for perimeter intrusion detection is proposed and experimentally demonstrated. In our proposed sensor system, a wideband Boolean-chaos signal is used as the probe signal, and a pair of leaky coaxial cables (LCXs) is applied for transmitting the probe signal and receiving the echo signal, respectively. By correlating the chaotic echo signal with its delayed duplicate and comparing the correlation traces before and after intrusion, the intruder can be accurately located. Experimental results demonstrate the proposed sensor can simultaneously detect multiple intruders. The range resolution reaches 30 cm, whilst the dynamic range can achieve 50 dB. In addition, this sensor possesses the excellent anti-interference performance to the noise and uncorrelated chaotic signal, which makes it show robust performance in the detection environment with noise or multiple chaotic LCX sensors cooperation.

scholarly journals Precision Imaging of Frequency Stepped SAR with Frequency Domain Extracted HRRP and Fast Factorized Back Projection Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-13
Author(s):  
Can-bin Yin ◽  
Da Ran
Keyword(s):  
Fourier Transform ◽  
Frequency Domain ◽  
Single Point ◽  
Projection Algorithm ◽  
Great Promise ◽  
Back Projection ◽  
Imaging Processing ◽  
Block Partition ◽  
Range Resolution ◽  
High Range

Novel frequency domain extracted method (FDEM) to obtain high range resolution profile (HRRP) for frequency stepped synthetic aperture radar (SAR) is proposed in this paper, and the mathematical principle and formulas of this new HRRP obtaining idea combined with classical fast Fourier transform (FFT), chirp z transform (CZT), and single point Fourier transform (SPFT) are deduced, analyzed, and compared in detail. Based on the HRRP data, precision imaging processing is completed using a data block partition based fast factorized back projection algorithm. Imaging validations are executed and all results proved that the FDEM has a great capability of antijamming. It is more effective than conventional time domain IFFT method (TDM) and shows a great promise in frequency stepped radar imaging and applications.

scholarly journals Underground Object Classification for Urban Roads Using Instantaneous Phase Analysis of Ground-Penetrating Radar (GPR) Data

2018 ◽  
Vol 10 (9) ◽  
pp. 1417 ◽  
Author(s):  
Byeongjin Park ◽  
Jeongguk Kim ◽  
Jaesun Lee ◽  
Man-Sung Kang ◽  
Yun-Kyu An
Keyword(s):  
Phase Analysis ◽  
Ground Penetrating Radar ◽  
Data Interpretation ◽  
Buried Pipes ◽  
Instantaneous Phase ◽  
Analysis Technique ◽  
Different Types ◽  
Ground Penetrating ◽  
Rapid Scanning

Ground-penetrating radar (GPR) has been widely used to detect subsurface objects, such as hidden cavities, buried pipes, and manholes, owing to its noncontact sensing, rapid scanning, and deeply penetrating remote-sensing capabilities. Currently, GPR data interpretation depends heavily on the experience of well-trained experts because different types of underground objects often generate similar GPR reflection features. Moreover, reflection visualizations that were obtained from field GPR data for urban roads are often weak and noisy. This study proposes a novel instantaneous phase analysis technique to address these issues. The proposed technique aims to enhance the visibility of underground objects and provide objective criteria for GPR data interpretation so that the objects can be automatically classified without expert intervention. The feasibility of the proposed technique is validated both numerically and experimentally. The field test utilizes rarely available GPR data for urban roads in Seoul, South Korea and demonstrates that the technique allows for successful visualization and classification of three different types of underground objects.

scholarly journals ASSESSING THE CONDITION OF BURIED PIPE USING GROUND PENETRATING RADAR (GPR)

2018 ◽  
Vol XLII-4/W9 ◽  
pp. 77-81
Author(s):  
S. W. Wahab ◽  
D. N. Chapman ◽  
C. D. F. Rogers ◽  
K. Y. Foo ◽  
N. Metje ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Asset Management ◽  
Laboratory Experiments ◽  
Structural Defects ◽  
Test Facility ◽  
Buried Pipe ◽  
Grid Pattern ◽  
Buried Pipes ◽  
Service Efficiency ◽  
Ground Penetrating

<p><strong>Abstract.</strong> The invention of Ground Penetrating Radar (GPR) technology has facilitated the possibility of detecting buried utilities and has been used primarily in civil engineering for detecting structural defects, such as voids and cavities in road pavements, slabs and bridge decks, but has not been used to assess the condition of buried pipes. Pipe deterioration can be defined as pipes where, for example, cracking, differential deflection, missing bricks, collapses, holes, fractures and corrosion exists. Assessing the deterioration of underground pipes is important for service efficiency and asset management. This paper describes a research project that focused on the use of GPR for assessing the condition of buried pipes. The research involved the construction of a suitable GPR test facility in the laboratory to conduct controlled testing in a dry sand. Plastic pipes were chosen for the experiments. A series of laboratory experiments were conducted to determine the validity and effectiveness of standard commercially available GPR technology in assessing the condition of buried utilities with common types of damage. Several types of damage to the plastic pipe were investigated with respect to different GPR antenna frequencies. The GPR surveys were carried out in order to obtain signal signatures from damaged and undamaged pipes buried at 0.5<span class="thinspace"></span>m depth. These surveys were organised on a grid pattern across the surface of the sand in the test facility. The results presented in this paper show that GPR can identify certain types of damage associated with a buried pipe under these controlled laboratory conditions.</p>

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