Radar Signatures of Complex Buried Objects in Ground Penetrating Radar

Radar Signatures of Complex Buried Objects in Ground Penetrating RadarThe evaluation of radar signatures of buried objects for three experimental ground penetrating radar setups will be addressed in this paper. The contribution will present corresponding results and experiences. The performance of the imaging capabilities of the designed radar system will be assessed by reconstruction of complex shaped test objects, which have been placed within the ground. The influence of system parameters of the ground penetrating radar have been varied systematically in order to analyze their effects on the image quality. Among the modified parameters are the step size in transverse plane, height of the antenna over ground, frequency range, frequency points, antennas and varying instrument settings. A signal processing technique based on synthetic aperture radar has been applied on the measured raw data. The focus radius around a specific target has been analyzed concerning the compromise between image quality and processing time. The experiments demonstrate that the designed ground penetrating radar systems are capable for detection of buried objects with high resolution.

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Ground Penetrating Radar Radargram Filter using Singularity Expansion Method

Applied Computational Electromagnetics Society ◽

10.47037/2020.aces.j.351187 ◽

2021 ◽

Vol 35 (11) ◽

pp. 1437-1438

Author(s):

Eder Ruiz ◽

Daniel Chaparro-Arce ◽

John Pantoja ◽

Felix Vega ◽

Chaouki Kasmiv ◽

...

Keyword(s):

Ground Penetrating Radar ◽

Expansion Method ◽

Processing Technique ◽

Sar Image ◽

Metallic Material ◽

Buried Objects ◽

Ground Penetration Radar ◽

Ground Penetrating

In this paper, the singularity expansion method (SEM) is used to improve the signal-to-clutter ratio of radargrams obtained with a ground penetration radar (GPR). SEM allows to select the poles of the GPR signals corresponding to unwanted signals, clutter, and also reflections of specific buried objects. A highly reflective metallic material was used to assess the use of SEM as a tool to eliminate unwanted reflections and signals produced by a GPR. Selected clutter poles are eliminated from each frame of the SAR image in order to keep only desired poles for analysis. Finally, the reconstructed radargram obtained applying SEM is compared with the image obtained using a well-known processing technique. Results show that the proposed technique can be used to straightforwardly remove undesired signals measured with GPRs.

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Frequency based signal processing technique for pulse modulation ground penetrating radar system

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i5.pp4104-4112 ◽

2021 ◽

Vol 11 (5) ◽

pp. 4104

Author(s):

Che Ku Nor Azie Hailma Che Ku Melor ◽

Ariffuddin Joret ◽

Maryanti Razali ◽

Asmarashid Ponniran ◽

Muhammad Suhaimi Sulong ◽

...

Keyword(s):

Ground Penetrating Radar ◽

Promising Result ◽

Processing Technique ◽

Dipole Antenna ◽

Depth Range ◽

Signal Processing Technique ◽

Pulse Modulation ◽

Two Parameters ◽

Ground Penetrating ◽

Selection Of

This paper discusses the method of processing the pulse modulation (PM) ground penetrating radar (GPR) system to detect an embedded object underground. The proposed technique is using frequency domain operation which can be classified based on two parameters which are magnitude and phase. The process of detecting the position and depth of iron objects in dry sandy soil is easier to identify using the techniques and parameters that have been introduced. The selection of the Dipole antenna as a sensor device to detect iron objects has been designed in a frequency range of 70 MHz to 80 MHz. Based on the simulation, the proposed technique seems to be able to detect underground iron objects. By using the magnitude value, the underground iron object that can be detected as displayed in GPR radargram is in the depth range from 0 mm until 1000 mm. Meanwhile, by using the phase value, the embedded underground iron object detected is in the range of depth between 900 mm and 1000 mm. Therefore, based on this promising result, the proposed technique and parameters are considered to be used in

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