Bayesian Filtering for Joint Multi-User Positioning, Synchronization and Anchor State Calibration

Yi Lu, Ossi Kaltiokallio, Mike Koivisto, Jukka Talvitie, Elena Simona Lohan, Henk Wymeersch, Mikko Valkama

Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

13 Lataukset (Pure)

Abstrakti

Millimeter (mmWave) positioning can go beyond classical localization, allowing to extract more complete situational awareness in terms of, e.g, clock offsets, antenna orientations or landmark locations. In this article, we formulate an extended Kalman filtering (EKF)-based framework called MU-PoSAC ( M ulti- U ser Po sitioning, S ynchronization and A nchor State C alibration), that allows to jointly estimate and track the locations and clock offsets of multiple users together with the unknown locations and orientation offsets of the anchors, building on angle-of-arrival (AoA) and time-of-arrival (ToA) measurements. We provide an extensive set of numerical results in the context of mmWave 5 G New Radio (NR) deployment in an industrial facility with moving robots and other industrial vehicles, incorporating full-scale ray-tracing for accurate propagation modeling as well as actual uplink reference signal based AoA and ToA estimators. Our numerical results show that estimating and tracking the overall system state is feasible, and that a single reference anchor can further enhance the estimation accuracy. In addition, more users are shown to lead to better performance, due to the beneficial coupling of the anchor state. Therefore, our study demonstrates that in order to maximize the estimation performance, it is desirable to have at least one anchor state precisely known, and to have multiple users in the system. Finally, the important practical aspect of Line-of-Sight (LoS) blockage is addressed. It is shown that in the considered industrial use case, the proposed MU-PoSAC framework can offer robustness against intermittent LoS blockage.

AlkuperäiskieliEnglanti
Sivut10949-10964
Sivumäärä16
JulkaisuIEEE Transactions on Vehicular Technology
Vuosikerta72
Numero8
DOI - pysyväislinkit
TilaJulkaistu - elok. 2023
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

  • Jufo-taso 3

!!ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

Sormenjälki

Sukella tutkimusaiheisiin 'Bayesian Filtering for Joint Multi-User Positioning, Synchronization and Anchor State Calibration'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä