Identification of human motion signature using airborne radar data

Michael McDonald; Anthony Damini

doi:10.1117/12.2026794

30 September 2013 Identification of human motion signature using airborne radar data

Michael McDonald, Anthony Damini

Proceedings Volume 8857, Signal and Data Processing of Small Targets 2013; 885708 (2013) https://doi.org/10.1117/12.2026794
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

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.

Citation Download Citation

Michael McDonald and Anthony Damini "Identification of human motion signature using airborne radar data", Proc. SPIE 8857, Signal and Data Processing of Small Targets 2013, 885708 (30 September 2013); https://doi.org/10.1117/12.2026794

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