Pub Date : 2014-12-31DOI: 10.1109/ICGPR.2014.6970481
J. Hunziker, J. Thorbecke, E. Slob
We developed an analytical code to model electromagnetic fields in 3D in a stack of vertical transverse isotropic layers. This code is suitable to model low-frequency as well as high-frequency responses and it is expected to become available as an open source package in 2014. We give an overview of the code and use it to investigate the sensitivity of different Ground Penetrating Radar antenna configurations to the horizontal and vertical electric permittivity. This investigation shows that a configuration with the source and the receiver antennas horizontal and orthogonal to the survey line is the most suitable for estimating the horizontal and vertical electric permittivity if data are only available for small offsets.
{"title":"Modeling of GPR data in a stack of VTI-layers with an analytical code","authors":"J. Hunziker, J. Thorbecke, E. Slob","doi":"10.1109/ICGPR.2014.6970481","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970481","url":null,"abstract":"We developed an analytical code to model electromagnetic fields in 3D in a stack of vertical transverse isotropic layers. This code is suitable to model low-frequency as well as high-frequency responses and it is expected to become available as an open source package in 2014. We give an overview of the code and use it to investigate the sensitivity of different Ground Penetrating Radar antenna configurations to the horizontal and vertical electric permittivity. This investigation shows that a configuration with the source and the receiver antennas horizontal and orthogonal to the survey line is the most suitable for estimating the horizontal and vertical electric permittivity if data are only available for small offsets.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115579074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-31DOI: 10.1109/ICGPR.2014.6970479
E. Slob, J. Hunziker, J. Thorbecke, K. Wapenaar
We present a three-dimensional scheme that can be used to compute a vertical radar profile from reflection data measured at the surface. This is done by first constructing a focusing wavefield, which focuses at the chosen location in the subsurface that is then the virtual receiver location for the vertical radar profile Green's function. Because the up- and downgoing parts of the Green's function are retrieved separately, these are very useful for imaging and inversion. We show with a numerical example that the method works well in a two-dimensional configuration.
{"title":"Creating virtual vertical radar profiles from surface reflection Ground Penetrating Radar data","authors":"E. Slob, J. Hunziker, J. Thorbecke, K. Wapenaar","doi":"10.1109/ICGPR.2014.6970479","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970479","url":null,"abstract":"We present a three-dimensional scheme that can be used to compute a vertical radar profile from reflection data measured at the surface. This is done by first constructing a focusing wavefield, which focuses at the chosen location in the subsurface that is then the virtual receiver location for the vertical radar profile Green's function. Because the up- and downgoing parts of the Green's function are retrieved separately, these are very useful for imaging and inversion. We show with a numerical example that the method works well in a two-dimensional configuration.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114873542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-04DOI: 10.1109/ICGPR.2014.6970584
Yan Su, S. Xing, Jianqing Feng, S. Dai, Yuanzheng Xiao, Lei Zheng, Chunlai Li
Chinese Chang'e-3 was launched on 2nd December 2013, and it has successfully landed on the moon. The rover was successfully deployed from the lander, and touched the lunar surface on 14 December. One of the payloads on board the Chang'e-3 rover is the Lunar ground-Penetrating Radar (LPR), aimed at observing the lunar subsurface geology at frequency channels of 60MHz and 500MHz. The LPR has worked for 271minutes and 36 seconds to obtain 9960 track data at 60MHz and 19538 track data at 500MHz till 1019 on 1st Jan. 2014 UTC. The rover walking time was 31 minutes and 37 seconds with walking distance of 102.8m, and the total amount of the radar data is 318MB. The LPR preliminary results of 60MHz reveals two layers at the depths of ~208m and ~328m, which are considered as the buried regolith layers accumulated during depositional hiatus of mare basalts. The results of 500MHz displays the regolith is about 4-6m, which is consistent with our estimation.
{"title":"The preliminary results of lunar penetrating radar on board the Chinese Chang'e-3 rover","authors":"Yan Su, S. Xing, Jianqing Feng, S. Dai, Yuanzheng Xiao, Lei Zheng, Chunlai Li","doi":"10.1109/ICGPR.2014.6970584","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970584","url":null,"abstract":"Chinese Chang'e-3 was launched on 2nd December 2013, and it has successfully landed on the moon. The rover was successfully deployed from the lander, and touched the lunar surface on 14 December. One of the payloads on board the Chang'e-3 rover is the Lunar ground-Penetrating Radar (LPR), aimed at observing the lunar subsurface geology at frequency channels of 60MHz and 500MHz. The LPR has worked for 271minutes and 36 seconds to obtain 9960 track data at 60MHz and 19538 track data at 500MHz till 1019 on 1st Jan. 2014 UTC. The rover walking time was 31 minutes and 37 seconds with walking distance of 102.8m, and the total amount of the radar data is 318MB. The LPR preliminary results of 60MHz reveals two layers at the depths of ~208m and ~328m, which are considered as the buried regolith layers accumulated during depositional hiatus of mare basalts. The results of 500MHz displays the regolith is about 4-6m, which is consistent with our estimation.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127171121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-04DOI: 10.1109/ICGPR.2014.6970539
W. Gunawan, Y. H. Pramono
In this paper, design of ultra wide-band antenna for radar application has been proposed. The antenna consists of circular patch and partial ground plane on the adjacent side. The proposed antenna is designed in FR-4 substrate which has 1.6 mm thick and 4.6 relative permittivity value. The dimension of the substrate is 42 mm × 50 mm × 1.6 mm. Ground plane shapes also had an impact on the outcome. Antenna radiation pattern is bi-directional which is also influenced by the current density flowing on the surface.
{"title":"Ultra wide-band antenna with low cost for radar application","authors":"W. Gunawan, Y. H. Pramono","doi":"10.1109/ICGPR.2014.6970539","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970539","url":null,"abstract":"In this paper, design of ultra wide-band antenna for radar application has been proposed. The antenna consists of circular patch and partial ground plane on the adjacent side. The proposed antenna is designed in FR-4 substrate which has 1.6 mm thick and 4.6 relative permittivity value. The dimension of the substrate is 42 mm × 50 mm × 1.6 mm. Ground plane shapes also had an impact on the outcome. Antenna radiation pattern is bi-directional which is also influenced by the current density flowing on the surface.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124992644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-04DOI: 10.1109/ICGPR.2014.6970565
Ding Ya-lei, S. Lei, Yang Wei-hao, L. Hai-peng
As a nondestructive method, GPR is widely used in detection the distribution of the broken rock zone surrounding laneways. For deep coal mining engineering, the rock surround laneways would experience several damages. The broken rock is a special composite medium by rock, fracture which is filled with water or air. Although, a lot of researches about the electromagnetism of rock have been done, mostly is about intact rock. And the EM wave field propagating in the stochastic broken medium was not clearly mastered too. Generally, it depends on empirical judgments to identify the boundary and determine the range of the broken rock zone. So, the authors try to establish a theoretical permittivity formula of the stochastic broken rock by analytical analyses, and the bulking factor of Rock Mechanics is introduced into the formula. Then, orthogonal numerical simulations, considering of fracture length, aperture, volume fracture number and moisture, are carried out to modify the theoretical permittivity formula. Furthermore, a numerical model of a laneway surround by a stochastic Broken Rock Zone(BRZ) is established, and the GPR profile along the inner surface of the laneway is calculated, which could be of help to identify the BRZ boundary in GPR profile. Engineering example of GPR exploration and borehole imaging are also given to illustrate the feasibility of GPR utilized on the BRZ detection in deep coal mining engineering.
{"title":"Permittivity and EM wave field of the stochastic broken rock and its applications","authors":"Ding Ya-lei, S. Lei, Yang Wei-hao, L. Hai-peng","doi":"10.1109/ICGPR.2014.6970565","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970565","url":null,"abstract":"As a nondestructive method, GPR is widely used in detection the distribution of the broken rock zone surrounding laneways. For deep coal mining engineering, the rock surround laneways would experience several damages. The broken rock is a special composite medium by rock, fracture which is filled with water or air. Although, a lot of researches about the electromagnetism of rock have been done, mostly is about intact rock. And the EM wave field propagating in the stochastic broken medium was not clearly mastered too. Generally, it depends on empirical judgments to identify the boundary and determine the range of the broken rock zone. So, the authors try to establish a theoretical permittivity formula of the stochastic broken rock by analytical analyses, and the bulking factor of Rock Mechanics is introduced into the formula. Then, orthogonal numerical simulations, considering of fracture length, aperture, volume fracture number and moisture, are carried out to modify the theoretical permittivity formula. Furthermore, a numerical model of a laneway surround by a stochastic Broken Rock Zone(BRZ) is established, and the GPR profile along the inner surface of the laneway is calculated, which could be of help to identify the BRZ boundary in GPR profile. Engineering example of GPR exploration and borehole imaging are also given to illustrate the feasibility of GPR utilized on the BRZ detection in deep coal mining engineering.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125370052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-04DOI: 10.1109/ICGPR.2014.6970563
Sixin Liu, X. Chang, L. Ran
Fracture is an important geologic phenomenon which is crucial for petroleum and geothermal exploration and exists in various scale and geometry in nature. Borehole radar is an important tool which can image single fractures several to tens meters away from borehole in thousands of meters depth. However, the detectability of various fractures is not clear. We analyzed the radar response to a thin fracture using plane wave theory, and found the primary reflection and multiple reflections cancel each other. The fact increase the difficulty of fracture detection. We use sub-cell FDTD technique to synthesize borehole radar response to fractures from 0.0005m to 0.02m wide, and filled with water or air. It is found that water-filled vertical fracture is easier to be detected than air-filled fracture, and the fracture width affect the reflected signal very much. The wider the fracture, the strong the reflected signals. Also, large dynamic range is required for weaker fracture signals detection. This kind of simulation is helpful for the fracture detection and evaluation.
{"title":"Analysis of fractures detectability by borehole radar","authors":"Sixin Liu, X. Chang, L. Ran","doi":"10.1109/ICGPR.2014.6970563","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970563","url":null,"abstract":"Fracture is an important geologic phenomenon which is crucial for petroleum and geothermal exploration and exists in various scale and geometry in nature. Borehole radar is an important tool which can image single fractures several to tens meters away from borehole in thousands of meters depth. However, the detectability of various fractures is not clear. We analyzed the radar response to a thin fracture using plane wave theory, and found the primary reflection and multiple reflections cancel each other. The fact increase the difficulty of fracture detection. We use sub-cell FDTD technique to synthesize borehole radar response to fractures from 0.0005m to 0.02m wide, and filled with water or air. It is found that water-filled vertical fracture is easier to be detected than air-filled fracture, and the fracture width affect the reflected signal very much. The wider the fracture, the strong the reflected signals. Also, large dynamic range is required for weaker fracture signals detection. This kind of simulation is helpful for the fracture detection and evaluation.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125377080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-04DOI: 10.1109/ICGPR.2014.6970530
M. Grasmueck, P. Marchesini
Rough Terrain GPR Antennae made of flexible hose are dragged along small trails to image near surface geology in field areas with dense vegetation and rugged topography. For accurate antenna midpoint coordinates between transmitter and receiver two miniature GPS receivers are attached to such a snake-like 50 MHz GPR antenna. During a three day field test on a Pleistocene highstand reef complex in the Dominican Republic 21 km of 2D GPR profiles were acquired. Differential post-processing of the raw GPS data recorded by the two GPS rovers attached to the GPR antenna together with a third stationary GPS receiver yields sub-meter precise GPR profile coordinates on gravel roads and trails. The reef carbonates are imaged to depths of 15 m along bushtrails. Data quality is degraded on gravel roads due to conductive road fill material. Overall, the network of 2D GPR profiles provides an accurate framework of the near surface geology for 3D visualization and facies correlation.
{"title":"Bushtrail subsurface mapping using flexible GPR Antenna tracked by mini-GPS loggers","authors":"M. Grasmueck, P. Marchesini","doi":"10.1109/ICGPR.2014.6970530","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970530","url":null,"abstract":"Rough Terrain GPR Antennae made of flexible hose are dragged along small trails to image near surface geology in field areas with dense vegetation and rugged topography. For accurate antenna midpoint coordinates between transmitter and receiver two miniature GPS receivers are attached to such a snake-like 50 MHz GPR antenna. During a three day field test on a Pleistocene highstand reef complex in the Dominican Republic 21 km of 2D GPR profiles were acquired. Differential post-processing of the raw GPS data recorded by the two GPS rovers attached to the GPR antenna together with a third stationary GPS receiver yields sub-meter precise GPR profile coordinates on gravel roads and trails. The reef carbonates are imaged to depths of 15 m along bushtrails. Data quality is degraded on gravel roads due to conductive road fill material. Overall, the network of 2D GPR profiles provides an accurate framework of the near surface geology for 3D visualization and facies correlation.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122543644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-04DOI: 10.1109/ICGPR.2014.6970466
A. Alani, Kevin Banks
This paper reports on the applications of Ground Penetrating Radar (GPR) in the structural detailing of a major tunnel under the River Medway in north Kent, UK. Construction of the tunnel was completed in 1996 and it carries a substantial volume of traffic between two major areas of Medway. The construction of the tunnel is an “immersed tube” tunnel type that connects a number of segments at immersion joint points. This investigation reports on the use of a 2 GHz GPR antenna system in establishing structural details of the tunnel roof at immersion joints. The processed data compiled as a result of this investigation provided much needed information to tunnel engineers for forthcoming maintenance planning purposes. It also provided ample information in confirming the rather doubted construction design drawings/plans originally produced. The reported results are conclusive in terms of construction materials used (information was not originally available and needed confirmation) as well as establishing the required information on the formation of the tunnel roof joints. The presentation is complemented by providing detailed information of the complex process of adopting the GPR systems used in this endeavour.
{"title":"Applications of ground penetrating radar in the Medway Tunnel - Inspection of structural joints","authors":"A. Alani, Kevin Banks","doi":"10.1109/ICGPR.2014.6970466","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970466","url":null,"abstract":"This paper reports on the applications of Ground Penetrating Radar (GPR) in the structural detailing of a major tunnel under the River Medway in north Kent, UK. Construction of the tunnel was completed in 1996 and it carries a substantial volume of traffic between two major areas of Medway. The construction of the tunnel is an “immersed tube” tunnel type that connects a number of segments at immersion joint points. This investigation reports on the use of a 2 GHz GPR antenna system in establishing structural details of the tunnel roof at immersion joints. The processed data compiled as a result of this investigation provided much needed information to tunnel engineers for forthcoming maintenance planning purposes. It also provided ample information in confirming the rather doubted construction design drawings/plans originally produced. The reported results are conclusive in terms of construction materials used (information was not originally available and needed confirmation) as well as establishing the required information on the formation of the tunnel roof joints. The presentation is complemented by providing detailed information of the complex process of adopting the GPR systems used in this endeavour.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114551244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-04DOI: 10.1109/ICGPR.2014.6970409
J. Tronicke, G. Hamann
Today, vertical radar profiling (VRP) is mainly used to derive 1D velocity models in the vicinity of a borehole by inverting direct arrival traveltimes. In hydrological applications, the resulting velocity models are often used to estimate hydrological material properties such as soil water content or porosity. However, uncertainties in the inverted velocity and in the employed petrophysical models are typically ignored. We present a workflow to appraise uncertainty and nonuniqueness issues inherent to VRP traveltime inversion and to quantify the influence of these issues on the following petrophysical translation. Our strategy relies on an efficient global inversion approach, which results in an ensemble of velocity models explaining the data equally well. For estimating water content and porosity, we use the entire ensemble of velocity models which results in an ensemble of possible petrophysical parameter distributions. In addition, this Monte-Carlo procedure allows us to investigate the impact of uncertainties in the employed petrophysical model by using a variety of appropriate translations. Using synthetic VRP data and a field example, we demonstrate the applicability and the potential of the proposed workflow.
{"title":"Deriving hydrological parameters from VRP data: accounting for uncertainties in inverted velocities and petrophysical models","authors":"J. Tronicke, G. Hamann","doi":"10.1109/ICGPR.2014.6970409","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970409","url":null,"abstract":"Today, vertical radar profiling (VRP) is mainly used to derive 1D velocity models in the vicinity of a borehole by inverting direct arrival traveltimes. In hydrological applications, the resulting velocity models are often used to estimate hydrological material properties such as soil water content or porosity. However, uncertainties in the inverted velocity and in the employed petrophysical models are typically ignored. We present a workflow to appraise uncertainty and nonuniqueness issues inherent to VRP traveltime inversion and to quantify the influence of these issues on the following petrophysical translation. Our strategy relies on an efficient global inversion approach, which results in an ensemble of velocity models explaining the data equally well. For estimating water content and porosity, we use the entire ensemble of velocity models which results in an ensemble of possible petrophysical parameter distributions. In addition, this Monte-Carlo procedure allows us to investigate the impact of uncertainties in the employed petrophysical model by using a variety of appropriate translations. Using synthetic VRP data and a field example, we demonstrate the applicability and the potential of the proposed workflow.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129282905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-12-04DOI: 10.1109/ICGPR.2014.6970482
Z. Zeng, Jing Li, Q. Lu, Kunru Wang, Xuan Feng, S. Xia, Fengshan Liu
GPR signal is essentially a delayed, scaled and distorted version of the transmitted pulse, determined by sparse parameters such as time delays and amplitudes. The time delay indicates the detected target's depth, and the amplitude is the impedance contrast at interface or reflection coefficient. A system for sampling GPR signal at an ultra-low sampling rate based on the Finite Rate of Innovation (FRI) and the estimation of time delays and amplitudes to detect GPR signal is presented in the paper. We build the algorithm and apply it to real GPR data from Northwest of China. The results demonstrate that the inverted impedance and time delay can be used to depict the sandstone and clay layer with high accuracy.
{"title":"The inversion GPR signal by compressing sensing and its application","authors":"Z. Zeng, Jing Li, Q. Lu, Kunru Wang, Xuan Feng, S. Xia, Fengshan Liu","doi":"10.1109/ICGPR.2014.6970482","DOIUrl":"https://doi.org/10.1109/ICGPR.2014.6970482","url":null,"abstract":"GPR signal is essentially a delayed, scaled and distorted version of the transmitted pulse, determined by sparse parameters such as time delays and amplitudes. The time delay indicates the detected target's depth, and the amplitude is the impedance contrast at interface or reflection coefficient. A system for sampling GPR signal at an ultra-low sampling rate based on the Finite Rate of Innovation (FRI) and the estimation of time delays and amplitudes to detect GPR signal is presented in the paper. We build the algorithm and apply it to real GPR data from Northwest of China. The results demonstrate that the inverted impedance and time delay can be used to depict the sandstone and clay layer with high accuracy.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129903634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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