International Journal of Earth Sciences and Engineering

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GPR Deconvolution Method Based on Formation Spectrum Compensation Using the Fractional Fourier Transform


Affiliations
1 College of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China
2 College of GeoExploration Science and Technology, Jilin University, Changchun, China
 

On the premise that the system is a linear time-varying model, this paper describes a ground-penetrating radar (GPR) deconvolution technology based on a formation spectrum compensation factor The formation spectrum correction factor in the fractional Fourier transform domain is determined using an optimal filtering algorithm. This verifies the original records of the spectrum using the correction factor in the transform domain, and improves the resolution of the GPR data. The algorithm proposed in this paper is validated using a simulation model data. Its performance is then compared with that of a conventional GPR deconvolution algorithm. The results verify that the proposed algorithm is more reasonable and effective than the traditional method.

Keywords

Linear Time-Varying Model, Ground Penetrating Radar (GPR), Deconvolution, Formation Spectrum Compensation, Fractional Fourier Transform (FrFT), Optimal Filtering.
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  • GPR Deconvolution Method Based on Formation Spectrum Compensation Using the Fractional Fourier Transform

Abstract Views: 112  |  PDF Views: 92

Authors

Lili Zhang
College of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China
Sixin Liu
College of GeoExploration Science and Technology, Jilin University, Changchun, China
Lele Qu
College of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China

Abstract


On the premise that the system is a linear time-varying model, this paper describes a ground-penetrating radar (GPR) deconvolution technology based on a formation spectrum compensation factor The formation spectrum correction factor in the fractional Fourier transform domain is determined using an optimal filtering algorithm. This verifies the original records of the spectrum using the correction factor in the transform domain, and improves the resolution of the GPR data. The algorithm proposed in this paper is validated using a simulation model data. Its performance is then compared with that of a conventional GPR deconvolution algorithm. The results verify that the proposed algorithm is more reasonable and effective than the traditional method.

Keywords


Linear Time-Varying Model, Ground Penetrating Radar (GPR), Deconvolution, Formation Spectrum Compensation, Fractional Fourier Transform (FrFT), Optimal Filtering.