Predicting GPR performance for Buried Victim Search and Rescue

N. Diamanti, A. P. Annan, I. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Ground penetrating radar (GPR) is a very common technique for exploring the subsurface. Lately, a different use of GPR has emerged from the need to search for and rescue victims in collapsed buildings and/or rock falls. Since the employment of ultra-wideband (UWB) radar devices is still a very new technique for rescue teams, many technology changes and best practices are being developed. One of the big concerns is the depth of sensing that can be achieved. Claims of seeing through 10s of meters of concrete rubble are not borne out by field measurements. This leads to false expectations in the search and rescue community and results in negative sentiments about the utility of the method. In this paper, we use of three-dimensional (3D) finite-difference time-domain (FDTD) numerical modelling to show how to establish realistic exploration depths and in the future provide some heuristic tools for assessing performance on real sites.
Original languageEnglish
Title of host publicationThe Proceedings of 2016 16th International Conference on Ground Penetrating Radar, GPR
PublisherIEEE Explore
Number of pages6
ISBN (Electronic)9781509051816
ISBN (Print)9781509051823
DOIs
Publication statusPublished - 22 Sep 2016
Event16th International Conference on Ground Penetrating Radar (GPR) - Hong Kong Polytechnic University, Hong Kong, Hong Kong
Duration: 13 Jun 201616 Jun 2016

Conference

Conference16th International Conference on Ground Penetrating Radar (GPR)
CountryHong Kong
CityHong Kong
Period13/06/1616/06/16

Keywords

  • 3D numerical modelling
  • FDTD
  • GPR
  • Rescue Radar
  • search and rescue
  • victims

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  • Cite this

    Diamanti, N., Annan, A. P., & Giannakis, I. (2016). Predicting GPR performance for Buried Victim Search and Rescue. In The Proceedings of 2016 16th International Conference on Ground Penetrating Radar, GPR IEEE Explore. https://doi.org/10.1109/ICGPR.2016.7572642