Accession Number:

ADA523514

Title:

Comparison of Radar-Based Human Detection Techniques (Postprint)

Descriptive Note:

Conference paper

Corporate Author:

GEORGIA INST OF TECH ATLANTA SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING

Report Date:

2010-06-01

Pagination or Media Count:

7.0

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.

Subject Categories:

  • Active and Passive Radar Detection and Equipment
  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE