The development of integrated sensing and communication (ISAC) systems has
recently gained interest for its ability to offer a variety of services
including resources sharing and new applications, for example, localization,
tracking, and health care related. While the sensing capabilities are offered
through many technologies, rending to their wide deployments and the high
frequency spectrum they provide and high range resolution, its accessibility
through the Wi-Fi networks IEEE 802.11ad and 802.11ay has been getting the
interest of research and industry. Even though there is a dedicated
standardization body, namely the 802.11bf task group, working on enhancing the
Wi-Fi sensing performance, investigations are needed to evaluate the
effectiveness of various sensing techniques. In this project, we, in addition
to surveying related literature, we evaluate the sensing performance of the
millimeter wave (mmWave) Wi-Fi systems by simulating a scenario of a human
target using Matlab simulation tools. In this analysis, we processed channel
estimation data using the short time Fourier transform (STFT). Furthermore,
using a channel variation threshold method, we evaluated the performance while
reducing feedback. Our findings indicate that using STFT window overlap can
provide good tracking results, and that the reduction in feedback measurements
using 0.05 and 0.1 threshold levels reduces feedback measurements by 48% and
77%, respectively, without significantly degrading performance.Comment: arXiv admin note: substantial text overlap with arXiv:2207.04859 by
other author