Comparison of Radar-Based Human Detection Techniques (Postprint)

Abstract

Radar offers unique advantages over other sensors in the human detection problem, such as remote operation during virtually all weather and lighting conditions. Many radar-based human detection systems today employ Fourier analysis, such as spectrograms. However, spectrograms perform poorly in high clutter environments. Also, an inherent SNR loss is caused by the implicit assumption of linear target phase. In this paper, human modeling is used to derive a more accurate non-linear approximation to the true non-linear target phase and the likelihood ratio is optimized over unknown parameters to enhance detection performance. Performance is compared both analytically and through MATLAB simulations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA523514

Entities

People

  • Douglas B. Williams
  • Sevgi Zübeyde Gürbüz
  • William L. Melvin

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Air Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Amplitude
  • Detection
  • Detectors
  • Environment
  • Equations
  • False Alarms
  • Fourier Analysis
  • Information Operations
  • Military Research
  • Phase Detectors
  • Radar
  • Simulations
  • Teleoperation
  • Warning Systems

Readers

  • Acoustical Oceanography.
  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation