We investigate and experimentally demonstrate a multi-antenna Wi-Fi-based passive bistatic radar (PBR) to perform indoor range-Doppler-angle detection of human targets. The latest Wi-Fi standard, 802.11ax, is considered as signal of opportunity, enabling a high range resolution suited for indoor detection. We build a Uniform-Linear-Array (ULA) using Universal Software Radio Peripherals (USRPs) as PBR receiver (RX), and present a novel calibration method to compensate the hardware-induced phase shift difference between the signals from the different antennas of the ULA. To avoid data association problems and limitations on the number of detectable targets for the Direction-of-Arrival (DoA) estimation, we demonstrate theoretically the possibility to use only the cell of the target in the radar range-Doppler maps (RDMs) across antennas as input to the Multiple Signal Classification (MUSIC) algorithm, rather than using the raw received signals. We validate the experimental setup and the processing by detecting the range, speed and DoA of two human targets moving in a room.
Storrer, L., Yildirim, H. C., Copa, E. P., Louveaux, J., De Doncker, P., Pollin, S., & Horlin, F. (2020). Experimental Implementation of a Multi-Antenna 802.11ax-based Passive Bistatic Radar for Human Target Detection. 2020 IEEE Radar Conference (RadarConf20), Florence, Italy. https://hdl.handle.net/2078.5/248000