Our goal is to be able to detect and classify dismounts, but we were lacking a quick way to estimate dismount parameters, especially with respect to angle of motion and depression angle of the radar. Micro-Doppler models have been developed which attempt to predict the human micro-Doppler response, and here we present a simplified model to quickly estimate dismount RCS and some micro-Doppler characteristics across a range of angles of motion. This model was extracted from measured radar data. We focus on modeling and measuring the characteristics of human walking parameters to determine response of dismounts to radar signals. We determine a simple closed form for RCS as a function of angle for walking dismounts as well as several rules of thumb, and we also determine a closed form for front-view micro-Doppler.
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