(U) Robust Personnel Detection using PIR and Seismic Sensors

In this paper we analyze the signals from passive infrared (PIR) and seismic sensors to detect people. The PIR data analysis is done to determine the radiation source such as a human or an animal based on the signal strength, slopes of the signals, the number of Fresnel lens zones crossed by the target. The seismic data analysis is done to ascertain whether the footsteps belong to a human or an animal. If a mixed (both human and animal) signal is present, a single channel source separation technique will be used to separate them. The algorithms are tested on the data collected at the Southwest border.