Radar micro-Doppler simulations of classification capability with frequency

David Tahmoush; Jerry Silvious

doi:10.1117/12.920791

3 May 2012 Radar micro-Doppler simulations of classification capability with frequency

David Tahmoush, Jerry Silvious

Proceedings Volume 8361, Radar Sensor Technology XVI; 83610Z (2012) https://doi.org/10.1117/12.920791
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Classifying human signatures using radar requires a detailed understanding of the RF scattering phenomenology associated with humans as well as their motion. We model humans engaged in the activity of walking and analyze the separability of different body parts with frequency as well as lookdown angle. This work seeks to estimate the ability to classify the micro-Doppler signals generated by human motion, and especially arm motion, as a function of the radar frequency and other parameters. The simulations imply that for classification using arm motion, frequencies at Ku-band or higher are probably required, and that lookdown angle has a significant effect on the classification capability of the radar. Additionally, the sensitivity of the system required to isolate the motion of different body parts is estimated.

Citation Download Citation

David Tahmoush and Jerry Silvious "Radar micro-Doppler simulations of classification capability with frequency", Proc. SPIE 8361, Radar Sensor Technology XVI, 83610Z (3 May 2012); https://doi.org/10.1117/12.920791

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