Improved People Counting Algorithm for Indoor Environments using 60 GHz FMCW Radar

This work presents a novel people counting system based on an adaptive peak detection and a vital sign verification algorithm with a 60 GHz frequency modulated continuous wave radar sensor, which uses the antenna in package technology. Thus, the sensor has a small size, a low energy consumption, and a low price. The algorithm applies an adaptive ordered statistic constant false alarm rate detection on the filtered and preprocessed range spectrum to detect human targets, and checks them in a second step with a vital sign verification algorithm. In the experimental setup a dataset of 0 to 4 people present in an office room was recorded with three sensors from different viewing angles. A plus-minus-one accuracy of up to 85.4 % was achieved and the ability to generalize to new sensor positions is shown.