Algorithm to process the stepped frequency radar signal for a thin road surface application

Ari Hartikainen*, Terhi Pellinen, Eeva Huuskonen-Snicker, Pekka Eskelinen

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

This article describes an algorithm for calculating the relative permittivity from a stepped frequency continuous wave radar (SFCW) signal. The intended application for the developed radar is a quality estimation of the road surface layer, which includes homogeneity and density estimation. Automated fast computations are needed for road surveying purposes, which must be conducted alongside the normal traffic and with typical traffic speeds. For SFCW, we get N sweep waveforms for each sample point, where N equals the number of frequency steps, which poses a computational problem for onboard data acquisition. Radar signal processing steps are at first conducted in the frequency domain, where initial calibration corrections are applied. This data is then transferred to the time domain via inverse Discrete Fourier Transform. The relative permittivity is calculated from the peak produced by the surface reflection. A proof of the concept is given in the form of a pilot measurement on a real road. Results indicate that the automated signal detection algorithm is accurate enough to be used in real life measurements.

Original languageEnglish
Pages (from-to)1090-1098
Number of pages9
JournalConstruction and Building Materials
Volume158
DOIs
Publication statusPublished - 15 Jan 2018
MoE publication typeA1 Journal article-refereed

Keywords

  • Density
  • Homogeneity
  • Relative permittivity
  • Stepped frequency continuous wave radar
  • Thin layer pavement

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