Optimal GPR bandwidth for time-frequency landmine discrimination

Timofei G. Savelyev, Motoyuki Sato

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

In this work we investigate which bandwidth of a ground penetrating radar (GPR) is optimal for time-frequency landmine discrimination. We extracted three time-frequency features of the early-time target response from the Wigner distribution. The features were found to be relatively invariant to target depth for a data acquired with a stepped-frequency ultra-wideband GPR. The frequency sweep was from 0.3 GHz up to 6 GHz. The features allowed discrimination of two different low-metal landmines from a mine-like stone. The results were visualized in the three-dimensional feature space where each point related to a certain target represents a certain GPR scenario. For a number of scenarios we obtained two separated clusters for the landmines and the stone respectively. Numerically the quality of target discrimination can be evaluated with the Mahalanobis distance which estimates the separation between such feature clusters accounting for their size. Here we use the Mahalanobis distance as a criterion of optimality for the GPR bandwidth. Having obtained good results for the large data bandwidth, we reduce it by digital filtering with a small step in changing the cut-off frequencies, then extract the features and compute the Mahalanobis distance between the landmines and the stone. Its maximal value defines the optimal GPR lower and upper frequencies.

Original languageEnglish
Article number42
Pages (from-to)435-446
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5794
Issue numberPART I
DOIs
Publication statusPublished - 2005 Oct 24
EventDetection and Remediation Technologies for Mines and Minelike Targets X - Orlando, FL, United States
Duration: 2005 Mar 282005 Apr 1

Keywords

  • GPR bandwidth
  • Mahalanobis distance
  • Target discrimination
  • Time-frequency features
  • UWB
  • Wigner distribution

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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