|Abstract:||Vehicle’s positioning with high accuracy, integrity and continuity is a mandatory requirement for Automated trains, Connected cars and Driverless metros. Even if GNSS positioning is being introduced for train and car automation in conjunction with other sensors its availability is not guaranteed everywhere as inside tunnels and in cutting edge areas. The objective of our paper is to investigate the Fine Timing Measurement (FTM) function recently introduced in the IEEE 802.11 standard for the determination of the distance between pairs of stations for locating vehicles in GNSS denied areas. This solution can be extended also to the metros where this kind of networks is used for the communication between the trains and control center. We combine the use of the RTT of signals exchanged by a vehicle equipped with a Wi-Fi unit and a Wi-Fi beacon supporting the Fine Timing Measurement protocol with the physical or the virtual track constraint to overcome the limitation of positioning based on Round- Trip Time (RTT) which implies that measures with respect to different beacons are sequentially acquired. A reference architecture applicable to train, cars and metros is presented and the localization performance are simulated with the Monte Carlo tool. This approach can be used to complement the GNSS positioning in areas where the signals are not available or affected by interferences and in the case of metros to reuse the Wi-Fi network for assessing the train positioning. This work has been developed under the grant of the “ERSAT GGC” project of the H2020-GALILEO-GSA-2017-1 Program (project number 776039).|
Proceedings of the ION 2019 Pacific PNT Meeting
April 8 - 11, 2019
Hilton Waikiki Beach
|Pages:||493 - 506|
|Cite this article:||
Neri, Alessandro, Salvaroti, Pietro, Massaro, Massimo, Rispoli, Francesco, "Indoor Vehicle Localization Based on Wi-Fi Navigation Beacons for Multi-Modal Transportation Applications," Proceedings of the ION 2019 Pacific PNT Meeting, Honolulu, Hawaii, April 2019, pp. 493-506.
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