Target Tracking with Integrated Sensing and Communications in IEEE 802.11bf
Ching-Lun Tai, Jingyuan Zhang, Douglas M. Blough, Raghupathy Sivakumar · 2024
The IEEE 802.11bf amendment is aimed to provide Wi-Fi networks with essential support for their potential sensing capability, in addition to their renowned communications paradigm. Taking advantage of both sensing and communications, integrated sensing and communications (ISAC) is a promising direction for Wi-Fi that has been less investigated in the existing literature. Therefore, in this paper, we propose a novel method for target tracking with ISAC in IEEE 802.11bf. Particularly, the Kalman filter is adopted for tracking the state of the target and the Cramér-Rao lower bound (CRLB) is employed to develop a proper performance metric for trilateration, where the access point (AP) needs a selection of three stations (STAs). By solving a discrete convex optimization problem, the AP decides between sensing and communications within each TXOP and selects the three STAs for trilateration if sensing is conducted. Simulation results confirm that the proposed method strikes a good balance between the sensing and communications performance. Moreover, the sensing performance of the proposed method improves as the number of STAs increases.