Advanced Statistical Signal Processing Techniques for Landmine Detection Using GPR

Abstract

We have developed innovative signal processing techniques to advance the performance of the vehicle mounted and handheld based ground penetrating radars for the detection of subsurface objects that are low in metal content and hard to detect. The derived techniques include the exploitation of frequency responses of the subsurface objects, the application of auto-regressive modelling and the use of matrix decomposition method. The developed techniques have been transferred to the DoD and the DoD's contractors that build the ground penetrating radar detection systems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 12, 2014
Accession Number
ADA610753

Entities

People

  • Dominic Ho

Organizations

  • University of Missouri

Tags

Communities of Interest

  • Counter IED
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Contractors
  • Department Of Defense
  • Detection
  • Detectors
  • Earth Sciences
  • Engineering
  • Frequency Response
  • Governments
  • Ground Penetrating Radar
  • Mathematics
  • Remote Sensing
  • Signal Processing
  • Students
  • Technology Transfer
  • Universities

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Military/Explosive Ordnance Disposal (EOD) Technology