Indoor Tracking of Multiple Individuals With an 802.11ax Wi-Fi-Based Multi-Antenna Passive Radar

We investigate indoor human multi-target tracking in cartesian coordinates based on range, Doppler and Angle-of-Arrival measurements obtained with a four-antenna passive bistatic radar capturing 802.11ax Wi-Fi signals. A reference antenna selection method is described to perform angle processing correctly when dealing target detection diversity among antennas. The performed by an Unscented Kalman Filter (UKF) handle the non-linear relation between measurement space state space. Joint Probabilistic Data Association coupled UKF data association tracks multiple targets. Simulations are determine parameters under heavy constraints identify key scenarios. An experimental setup built using Universal Software Radio Peripherals, featuring over-the-air phase calibration for anchor antenna. It used validate proposed single scheme.