From RSSI to CSI

By Zheng Yang, Zimu Zhou, Yunhao Liu. ACM Computing Surveys, 2013

637 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach (2016, positive): “employed for indoor localization to avoid the instability of RSS values [22].”
Towards 3D human pose construction using wifi (2020, background): “…are conducted to make use of WiFi devices to enable various sensing tasks, including indoor localization and tracking [5, 22, 25, 33, 39, 42, 48–50, 52, 53, 65], walking speed estimation [17, 43], breathing and heartbeats inference [6, 55, 58, 61], human identification [16, 43, 54], human or human…”
PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices (2017, background): “For an indoor environment with NLOS components [14], the channel frequency response of subcarrier i can also be formulated as”
Widar: Decimeter-Level Passive Tracking via Velocity Monitoring with Commodity Wi-Fi (2017, methodology): “Instead of applying statistical learning techniques, Widar achieves these goals by deriving velocities and locations both directly from the Channel State Information (CSI) of Wi-Fi signals [28].”
WiFi Sensing with Channel State Information (2019, background): “There are some surveys on specific types of WiFi sensing applications, including localization [110, 122, 128], gesture recognition [110], and activity recognition [44, 106, 110, 114, 129, 156].”