Vee dipoles with resistive loading for short-pulse ground-penetrating radar

Author(s):  
Thomas P. Montoya ◽  
Glenn S. Smith
2021 ◽  
Vol 13 (4) ◽  
pp. 667 ◽  
Author(s):  
Dmitry Edemsky ◽  
Alexei Popov ◽  
Igor Prokopovich ◽  
Vladimir Garbatsevich

Deployment of a ground penetrating radar (GPR) on a flying machine allows one to substantially extend the application area of this geophysical method and to simplify carrying out large surveys of dangerous and hard-to-reach terrain, where usual ground-based methods are hardly applied. There is a necessity to promote investigations in this direction by modifying hardware characteristics and developing specific proceeding algorithms. For this purpose, we upgraded commercial ground-based subsurface sounding hardware and performed corresponding computer simulation and real experiments. Finally, the first experimental flights were done with the constructed GPR prototype mounted on a helicopter. Using our experience in the development of ground-based GPR and the results of numerical simulations, an appropriate configuration of antennas and their placing on the flying machine were chosen. Computer modeling allowed us to select an optimal resistive loading of transmitter and receiver dipoles; calculate radiation patterns on fixed frequencies; analyze the efficiency of different conductor diameters in antenna circuit; calculate cross-coupling of transmitting and receiving antennas with the helicopter. Preliminary laboratory experiments to check the efficiency of the designed system were performed on an urban building site, using a tower crane with the horizontal jib to operate the measuring system in the air above the ground area to be sounded. Both signals from the surface and subsurface objects were recorded. To interpret the results, numerical modeling was carried out. A two-dimensional model of our experiment was simulated, it matches well the experimental data. Laboratory experiments provided an opportunity to estimate the level of spurious reflections from the external objects, which helps to recognize weak signals from subsurface objects in GPR surveys under live conditions.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
C. Moreno de Jong van Coevorden ◽  
M. Fernández Pantoja ◽  
Salvador G. García ◽  
A. Rubio Bretones ◽  
R. Gómez-Martín ◽  
...  

A multiobjective genetic algorithm has been applied to design a new printed, bow-tie antenna for ultrawideband applications, that is, ground penetrating radar, short range and high data rate communications, and so forth. The ultrawideband performance with respect to antenna impedance and gain is achieved by an optimized resistive loading profile and flare angle. A low-cost prototype is manufactured and numerical simulations are validated with measurements.


2019 ◽  
Vol 12 (23) ◽  
pp. 80-89
Author(s):  
Israa J. Muhsin

  Ground Penetrating Radar (GPR) is a nondestructive geophysical technique that uses electromagnetic waves to evaluate subsurface information. A GPR unit emits a short pulse of electromagnetic energy and is able to determine the presence or absence of a target by examining the reflected energy from that pulse. GPR is geophysical approach that use band of the radio spectrum. In this research the function of GPR has been summarized as survey different buried objects such as (Iron, Plastic(PVC), Aluminum) in specified depth about (0.5m) using antenna of 250 MHZ, the response of the each object can be recognized as its shapes, this recognition have been performed using image processing such as filtering. Where different filters like (DC adjustment, triangular FIR, delete mean trace, FIR) have been applied on output image as well as the simulation of the soil and the buried objects layers have been obtained using GPR simulation program.


2014 ◽  
Vol 41 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Leslie Odartey Mills ◽  
Nii Attoh-Okine

Ground penetrating radar (GPR) is a geophysical method used in highway maintenance to determine subsurface conditions within the right-of-way. GPR operates by using short-pulse radiation of radio-frequency electromagnetic energy to record dissimilarities in electrical properties of subsurface materials. As such, GPR results are susceptible to the transmission frequency used and the inherent properties of different subsurface materials. Uncertainty due to these susceptibilities can lead to ambiguity in the interpretation of GPR data. To distinguish heterogeneity from uncertainty, this paper modeled GPR data on pavement layer thickness using Markov Chain Monte Carlo (MCMC) simulation. MCMC is able to model heterogeneity within a given dataset and was employed to estimate and predict layer thicknesses obtained from GPR data. Simulated results were consistent with field data and provided statistical estimates of missing values in the original dataset. This analysis will aid relevant stakeholders to verify and determine consistency in field GPR data.


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