Ground penetrating radar (GPR) for counter improvised-explosive devices in Thailand

Boonpoonga, Akkarat

doi:10.1109/cama.2015.7428148

Cited by 10 publications

(10 citation statements)

References 10 publications

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“…These poles are aspect independent and depend upon the geometry and physical properties of the target [ Sarkar and Pereira , ]. There have been many attempts, as seen in Boonpoonga [], Yochanang et al [], Bannawat et al [], Grant and Crow [], and Sarkar and Pereira [], to extract poles from the late‐time response. One of the most popular methods is the MPM because of its performance in dealing with noise [ Sarkar and Pereira , ].…”

Section: Proposed Approachmentioning

confidence: 99%

“…Extensive research has been conducted on the detection and identification for the system by utilizing scattered EM fields. There have been many attempts to resolve the problem of detecting and characterizing unknown objects, with different shapes and constitutions, as seen in examples [ Boonpoonga , ; Yochanang et al , ; Liu et al , ; Bannawat et al , ; Chantasen et al , ; Carroll and Rachford , ] One of the most popular solutions for target identification is to use the resonance phenomena of the EM field scattered from the object under the hypothesis that the geometry and physical properties of the object are associated with its natural resonance frequencies.…”

Section: Introductionmentioning

confidence: 99%

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Simple estimation of late-time response for radar target identification

et al. 2017

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This paper proposes a conceptual technique for the simple estimation of the late‐time response for radar target identification without a priori knowledge of the target geometry or orientation. In the proposed technique, the cross correlation between the backscattering response and transmitted wave is performed. Peaks will occur in the cross‐correlation output when the transmitted wave is aligned with the same features in the received backscattering response. The commencement of the late‐time response corresponds with the peak resulting from a superimposed pattern between the transmitted wave and late‐time response. The matrix pencil method was exploited in order to extract the poles from the received backscattering response. Several simulations were performed to evaluate the performance of the proposed estimation technique. The simulation results confirmed the superiority of the proposed approach. In the special case of the transmission with a monocycle pulse, the commencement of the late‐time response can be automatically selected from the third peak of the resulting cross‐correlation output.

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Section: Proposed Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simple estimation of late-time response for radar target identification

et al. 2017

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“…During the last few decades, ground‐penetrating radar (GPR) has received considerable interest when searching for buried objects (see, e.g., Boonpoonga, ; Cedrina et al, ; Gonzalez‐Huici & Giovanneschi, ; Wang et al, ; Xie et al, ) because of the ability to nondestructively detect buried objects beneath shallow earth surface. The GPR that can image the subsurface with a high spatial resolution offers the promise of detecting metallic and nonmetallic land mines.…”

Section: Introductionmentioning

confidence: 99%

“…The complex natural frequency, called a pole, which is extracted from the late‐time response, is a tool for aspect‐independent target identification. There are many published works dealing with extracting poles from the scattering response (see examples in Bannawat et al, ; Boonpoonga, ; Chantasan et al, ; Chantasen et al, ; Kheawprae et al, ; Yochanang et al, ). The matrix pencil method (MPM) proposed in Sarkar and Pereira () to extract poles has drawn considerable attention because of its performance in dealing with noise.…”

Section: Introductionmentioning

confidence: 99%

Automatic Detection and Classification of Buried Objects Using Ground‐Penetrating Radar for Counter‐Improvised Explosive Devices

et al. 2018

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In this paper, a technique that can automatically detect and classify objects buried under the ground is proposed. The technique employs a ground‐penetrating radar that transmits electromagnetic waves in order to strike the objects and then receives the backscattering electromagnetic wave to perform signal processing. This signal processing is divided into four main steps as follows. First, preprocessing is used to reduce the clutter due to the effect of the media layer interface. Second, the late time of the scattering signal is estimated using a simple cross correlation. Third, a few successive poles are extracted from the scattering response at the estimated late time by using the short‐time matrix pencil method. Finally, the extracted poles are fed for object classification with different constitutions and/or shapes using a support vector machine. Simulations according to the practical situation in three southern provinces of Thailand to counter the improvised explosive devices were set up. The performance of the proposed technique was evaluated. The simulation results showed that the proposed technique can efficiently detect and classify buried objects for counter‐improvised explosive device operations in the military.

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“…Since over half a century, radar target identification systems have been intensely investigated in research areas of electromagnetic (EM) wave propagations and signal processing. There are many potential applications of the system, such as air defense, ground penetrating radar (GPR), and chipless RFID identification systems [1][2][3][4][5]. The challenging problem in the system is identifying unknown objects with different shapes and constituents, buried or not underground.…”

Section: Introductionmentioning

confidence: 99%

On the Resolution Improvement of Radar Target Identification with Filtering Antenna Effects

Bannawat

Boonpoonga

Burintramart³

et al. 2018

International Journal of Antennas and Propagation

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An investigation on the improvement of the resolution of a radar target identification system is presented in this paper. Degradation of resolution is mainly due to influence factors associated with antennas, including the strong coupling between transmitting and receiving antennas and the variation in the antenna response. A filtering technique was therefore introduced to mitigate the underlying problem. In the technique, the antenna effects were filtered out of the total response backscattered from the objects in the radar target identification system. The short-time matrix pencil method (STMPM) was then employed to extract the poles from the backscattered response in order to identify the object. Simulation and experimentation examples are illustrated to confirm the improvement of the resolution by filtering the antenna effects. The simulation and experimentation were divided into several categories, that is, different antennas and differently shaped objects, in order to validate the advantage of filtering the antenna effects. They were setup in order to demonstrate that the poles obtained from performing the STMPM without the filtering technique were mainly because of the antenna rather than the object’s characteristic. The results showed that the resolution of the identification was significantly increased when performing pole extraction and filtering the antenna effects.

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Ground penetrating radar (GPR) for counter improvised-explosive devices in Thailand

Cited by 10 publications

References 10 publications

Simple estimation of late-time response for radar target identification

Simple estimation of late-time response for radar target identification

Automatic Detection and Classification of Buried Objects Using Ground‐Penetrating Radar for Counter‐Improvised Explosive Devices

On the Resolution Improvement of Radar Target Identification with Filtering Antenna Effects

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