Optimization of seismo-acoustic land mine detection using dynamic mechanical impedances of mines and soil

Dimitri Donskoy, Nikolay Sedunov, Alexander Ekimov, Mikhail Tsionskiy

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations

Abstract

Seismo-acoustic detection has demonstrated a high potential for the detection of land mines with a low probability of false alarms. A key element in the implementation and optimization of this new detection approach is the physical model of the mine-soil system. The validated model of the mine-soil system employs a mass-spring approach, which characterizes the dynamic response of the system using very few (three to six) parameters derived from the dynamic mechanical impedances of the soil and the mines. This presentation describes the model and the results of the impedance measurements of live antitank and antipersonnel mines. The paper also deals with the optimization of the detection algorithm and its performance based on mine type, burial depth, and soil condition.

Original languageEnglish
Pages (from-to)575-582
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4394
Issue number1
DOIs
StatePublished - 2001
EventDetection and Remediation Technologies for Mines and Minelike Targets VI - Orlando, FL, United States
Duration: 16 Apr 200120 Apr 2001

Keywords

  • Dynamic impedance
  • Engineering model
  • Landmine detection
  • Optimization
  • Seismo-acoustics

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