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NAME : MARYANTI BINTI RAZALI (HE 180044)
SV : Dr. ARIFFUDDIN BIN JORET
PANEL : 1) Prof. Dr. JIWA BIN ABDULLAH
2) Prof. Madya. Dr. NOORSALIZA BINTI ABDULLAH
System that is capable to detect unforeseen underground object
Use Non-Destructive Technique to minimize effect on surface area and embedded objects surface
At the ground surface
Figure 1: Propose GPR system
Lack of interest exploring in narrow band antenna usage - blurry radargram image
Detect embedded object underground is depending on the wavelength of the antenna input signal.
Abujarad et al., 2007; Zajicova & Chuman, 2019
Wavelength decrease
=
High frequency
D. J. Daniels, 2004; Bernatek-Jakiel & Kondracka, 2019
Wavelength increase
=
Low frequency
Figure 2: Envelope detector technique signal processing for time domain GPR system
AFW
Asynchronous Full Wave
Asynchronous Half Wave
ARSL
AHW
Asynchronous Real Square Law
Figure 3: Block diagram for AFW type envelope detector technique
Figure 4: Radargram images of GPR systems (a) without post-processing and (b) processed using SVD techniques (Ghafoor, 2012)
Figure 5: Previous researcher research work on 2017
Figure 6: Previous researcher research work on 2019
Figure 7: Previous researcher research work on 2016
Figure 8: Propose GPR system study
Figure 8: (Continued)
Figure 9: Dipole antenna design for GPR system simulation in CST software
Figure 10: 3D model design of dry sand area in the CST software
Figure 11: Dimension of embedded object design in CST software
Figure 12: GPR system simulation design elevation view with scanning direction
Figure 13: GPR radargram display algorithm
0 - 0.13 GHz
Figure 14: Dipole antenna input signal in the frequency range 0 – 0.13 GHz
0.06 GHz - 0.08 GHz
Figure 15: Dipole antenna input signal in the frequency range of 0.06 – 0.08 GHz
0 - 0.5 GHz
Figure 16: Dipole antenna input signal in the frequency range of 0 – 0.5 GHz
0 - 1 GHz
Figure 17: Dipole antenna input signal in the frequency range of 0 – 1 GHz
Figure 18: GPR radargram image of GPR system simulation using pulse signal having spectrum from 0 – 0.13 GHz without embedded object
(a)
(b)
Figure 19: GPR Radargram image of GPR system simulation using pulse modulation signal having spectrum from 0.06 GHz – 0.08 GHz without embedded object (a) without using AFW envelope detector technique and (b) using AFW types of envelope detector technique
Figure 20: GPR Radargram image of GPR system simulation using pulse signal having spectrum from 0 – 0.5 GHz without embedded object
Figure 21: GPR Radargram image of GPR system simulation using pulse signal having spectrum from 0 – 1 GHz without embedded object
Figure 22: GPR Radargram image of GPR system simulation using pulse signal having spectrum from 0 – 0.13 GHz with embedded iron object at (a) 2cm, (b) 5 cm, (c) 7 cm and (d) 20 cm depth
(b)
(a)
(c)
(d)
(a)
(b)
(c)
(d)
Figure 23: GPR Radargram image of GPR system simulation using pulse modulation signal having spectrum from 0.06 GHz – 0.08 GHz with embedded iron object at (a) 2 cm, (b) 5 cm, (c) 7 cm and (d) 20 cm depth
(a)
(b)
Figure 24: GPR Radargram image of GPR system simulation using pulse modulation signal having spectrum from 0.06 GHz – 0.08 GHz with embedded iron object at (a) 2 cm, (b) 5 cm, (c) 7 cm and (d) 20 cm depth processing using AFW types of envelope detector technique
(c)
(d)
(a)
(b)
Figure 25: GPR Radargram image of GPR system simulation using pulse signal having spectrum from 0 – 0.5 GHz with embedded iron object at (a) 2 cm, (b) 5 cm, (c) 7 cm and (d) 20 cm depth
(d)
(c)
(a)
(b)
Figure 26: GPR Radargram image of GPR system simulation using pulse signal having spectrum from 0 – 1 GHz with embedded iron object at (a) 2 cm, (b) 5 cm, (c) 7 cm and (d) 20 cm depth
(c)
(d)
Table 1: Summarization of embedded object detection for frequency operation 0 – 0.13 GHz, 0 – 0.5 GHz and 0 – 1 GHz for depths of 2 cm, 5 cm, 7 cm and 20 cm