Investigation of Simulated Ground Penetrating Radar Data for Buried Objects Using Quadratic Time-Frequency Transformations

Date

2017-07-14

Author

DOĞAN, MESUT
Sayan, Gönül

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Sub-surface sensing is a challenging area of research that highly benefits from the use of ultra-wideband ground penetrating radar (GPR) technology. Detection and classification of buried objects with reduced false alarm rates is still open to improvements. Use of joint temporal and spectral target features obtained from electromagnetic GPR signals using time-frequency representation (TFR) methods is highly promising because TFRs provide detailed information about the energy distribution of GPR signals over the two-dimensional domain of time and frequency. 1 In this study, single-channel down-looking GPR data are simulated for spherical targets composed of different material contents. Following the removal of dominating ground reflections, energy distribution signatures of the A-scan GPR signals of different targets are investigated using the Wigner-Ville Distribution and Page Distribution type quadratic TFRs.

Subject Keywords

Ground penetrating radar, A-scan signals, Time-frequency representations, Target feature extraction

URI

https://hdl.handle.net/11511/46063

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar