Time-Frequency Analysis of a Moving Human Doppler Signature

Abstract

In this report we analyze the Doppler signature of a moving human with the purpose of finding temporal change patterns that would allow detection and classification of movers. The analysis is based on computer models that simulate the operation of a pulse-Doppler radar. We start with an animated human mesh in walking motion and compute the frame-by-frame radar return using electromagnetic solvers such as the Finite Difference Time Domain (FDTD). The results are processed in the time-frequency domain via Short-Time Fourier Transforms (STFT) and displayed as spectrograms. In the end, we try to distinguish patterns in these spectrograms that are characteristic to a certain human motion type. The analysis emphasizes the phenomenological aspects of the Doppler signature, by looking at the relative contribution of various body parts and the effect of frequency, aspect angle, polarization and other radar parameters.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2009
Accession Number
ADA494931

Entities

People

  • Calvin D. Le
  • Getachew Kirose
  • Traian V. Dogaru

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Bandwidth
  • Classification
  • Computer-Aided Design
  • Computers
  • Detection
  • Doppler Effect
  • Doppler Radar
  • Feature Extraction
  • Finite Difference Time Domain
  • Frequency
  • Frequency Bands
  • Frequency Shift
  • Military Research
  • Pattern Recognition
  • Radar
  • Target Recognition
  • Time Domain

Readers

  • Computational Fluid Dynamics (CFD)
  • Image Processing and Computer Vision.
  • Radar Systems Engineering.