Bianchini Ciampoli, Luca, Artagan, Salih Serkan, Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937, Calvi, Alessandro, Alani, Amir and Benedetto, Andrea (2018) A GPR spectral-based filtering for minimisation of concrete sleepers effects in railway ballast investigations. In: 41st International Conference on Telecommunications and Signal Processing, 4-6 July 2018, Athens, Greece. (In Press)
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Abstract
This paper investigates the influence of concrete railway sleepers on the ground-penetrating radar (GPR) signal for the assessment of railway ballast conditions. The main aim of this study is to propose a data processing scheme capable to filter out the effects of concrete sleepers on GPR signals with compound information (i.e., containing multiple reflections from the concrete sleepers and the underlying ballast material). The method relies on spectral-based filtering, i.e., it is based on the minimisation of the difference between i) the frequency spectra of the GPR traces collected along the scanning line at the abscissae of the sleepers and ii) the spectra of the traces acquired at the abscissae of the material between two consecutive sleepers. To this purpose, a stretch of 9.8 km of railway line was investigated using two horn antenna systems with operating frequencies of 1000 and 2000 MHz. Each system was oriented in two different ways, i.e. longitudinally and transversely with respect to the orientation of the tracks. Results have proven the viability of the proposed data processing scheme and spectral-based filtering to reduce the effects exerted by the sleepers on the signal.
Item Type: | Conference or Workshop Item (Paper) |
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Keywords: | spectral-based filtering, ground-penetrating radar (GPR), signal processing scheme, railway concrete sleepers, railway ballast |
Subjects: | Construction and engineering > Civil and environmental engineering Construction and engineering > Digital signal processing Construction and engineering > Electrical and electronic engineering Construction and engineering > Civil and structural engineering |
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Depositing User: | Fabio Tosti |
Date Deposited: | 19 Apr 2018 08:37 |
Last Modified: | 04 Nov 2024 12:50 |
URI: | https://repository.uwl.ac.uk/id/eprint/4845 |
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