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Proceedings Paper

Identification of human motion signature using airborne radar data
Author(s): Michael McDonald; Anthony Damini
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Paper Abstract

Data containing the radar signature of amoving person on the groundwere collected at ranges of up to 30 kmfroma moving airborne platform using the DRDC Ottawa X-bandWideband Experimental Airborne Radar (XWEAR). The human target radar echo returns were found to possess a characteristic amplitude modulated (AM) and frequency modulated (FM) signature which could be usefully characterized in terms of conventional AM and FM modulation parameters. Human detection performance after space time adaptive processing is frequently limited by false alarms arising from incomplete cancellation of large radar cross-section discretes during the whitening step. However, the clutter discretes possess different modulation characteristics from the human targets discussed above. The ability of pattern classification techniques to use this parameter measurement space to distinguish between human targets and clutter discretes is explored and preliminary results presented.

Paper Details

Date Published: 30 September 2013
PDF: 10 pages
Proc. SPIE 8857, Signal and Data Processing of Small Targets 2013, 885708 (30 September 2013); doi: 10.1117/12.2026794
Show Author Affiliations
Michael McDonald, Defence Research and Development Canada (Canada)
Anthony Damini, Defence Research and Development Canada (Canada)

Published in SPIE Proceedings Vol. 8857:
Signal and Data Processing of Small Targets 2013
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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