Clutter Characterization for Down-Looking Ground Penetrating Radar Imaging

Abstract

This report investigates the impact of clutter in down-looking ground penetrating radar (GPR) imaging systems via numeric simulations. The system modeled here is equipped with an antenna array, moves along a synthetic aperture track, and is capable of producing 2- or 3-D images of the underground space. Particular attention is given to the antenna array design to minimize the number of radar channels while maintaining good image quality. A brief phenomenological description of the rough ground surface clutter is presented, followed by a more detailed characterization of the clutter produced by soil permittivity fluctuations modeled as a 3-D random process. The results of large-scale numeric simulations are summarized in terms of clutter mean power and target-to-clutter ratio as a function of image depth. These results show some remarkable similarities between the effects of rough surface and soil inhomogeneity clutter on underground GPR images. Another important outcome is the large improvement in performance of a 3-D imaging system as compared to the 2-D version.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2021
Accession Number
AD1150877

Entities

People

  • Traian Dogaru

Organizations

  • United States Army

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Antenna Arrays
  • Clutter
  • Detection
  • Detectors
  • Earth Sciences
  • Ground Penetrating Radar
  • High Performance Computing
  • Military Research
  • Radar
  • Radar Imaging
  • Random Variables
  • Remote Sensing
  • Simulations
  • Three Dimensional
  • Two Dimensional
  • Unmanned Aerial Vehicles

Fields of Study

  • Physics

Readers

  • Geotechnical Engineering.
  • Radar Systems Engineering.
  • Theoretical Analysis.

Technology Areas

  • Space
  • Space - Space Objects