Modeling and Analysis of Millimeter-Wave Doppler Signature of Walking Human
Millimeter-wave radars are envisioned for a number of safety and security applications such as collision warning for vehicles, autonomous vehicle control, and detection of concealed weapons and explosives carried by individuals. Detection and identification of pedestrian in highly cluttered radar scattering scenes such as urban and highway environments is also of great importance. The scattered field from a human subject undergoes Doppler modulation of a particular signature if the human subject begins to move. Measuring the radar backscatter of a moving human subject over an extended period of time, a complete Doppler spectrum can be extracted. It is shown that this spectrum is unique enough to distinguish a human subject from other objects in the radar scene. A signal processing method is also presented to decompose that radar backscatter of a human subject into its components (torso, hands, and legs).