MU-PDR: A Method of Fingerprint Passive Positioning forWiFi6 Based on MU-RTS/CTS

With the rapid development of wireless communication technology and mobile Internet, requirements for accuracy and efficiency of location services are on the increase. In recent years, WiFi fingerprint passive positioning technology has received more and more attention from the academic community. RSS fingerprint is usually adopted in this field, but it has some inherent defects in real-time positioning due to its unstable acquisition timing. Packet Delivery Rate (PDR) fingerprint has been proposed in recent years, which has great advantages over RSS fingerprint in passive positioning scenario. However, it still has the problems of low positioning efficiency and huge resource consumption. Therefore, this paper proposes an improved positioning method namedMU-PDR (Multi User Packet Delivery Rate), which utilizes the newly introduced MU-RTS/CTS feature in WiFi6. The corresponding MU-PDR fingerprint acquisition and positioning methods are proposed to optimize the performance of PDR-like fingerprint in multi-target scenes. Finally, simulation result shows that MU-PDR has higher efficiency than traditional PDR in multi-target scenario, which is illustrated by the significant reduction of channel resource occupation under the same accuracy requirements.