Accurate indoor positioning using temporal-spatial constraints based on wi-fi fine time measurements

Shao W., Luo H., Zhao F., Tian H., Yan S. ., Crivello A.

fine time measurements  Estimation  Fingerprint recognition  Information Systems  Hardware and Architecture  Computer Networks and Communications  Internet of Things  IEEE 802.11mc-2016.  Signal Processing  Wi-Fi positioning  Computer Science Applications  Position measurement  Distance measurement  indoor positioning  Wireless fidelity  MIMO communication  Antenna arrays 

The IEEE 802.11mc-2016 protocol enables certified devices to obtain precise ranging information using time-of-flight based techniques. The ranging error increases in indoor environments due to the multipath effect. Traditional methods utilize only the ranging measurements of the current location, thus limiting the abilities to reduce the influence of multi-path problems. This paper introduces a robust positioning method that leverages the constraints of multiple positioning nodes at different positions. We transfer a sequence of temporal ranging measurements into multiple virtual positioning clients in the spatial domain by considering their spatial constraints. Defining an objective function and the spatial constraints of the virtual positioning clients as Karush-Kuhn-Tucker conditions, we solve the positioning estimation with non-convex optimization. We propose an iterative weight estimation method for the time of flight ranging and the virtual positioning client to optimize the positioning model. An extensive experimental campaign demonstrates that our proposal is able to remarkably improve the positioning accuracy in complex indoor environments.

Source: IEEE Internet of Things Journal 7 (2020): 11006–11019. doi:10.1109/JIOT.2020.2992069

Publisher: Institute of Electrical and Electronics Engineers, New York, NY, Stati Uniti d'America

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