Improvement of RTK performances using an array of receivers with known geometry - ENAC - École nationale de l'aviation civile Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Improvement of RTK performances using an array of receivers with known geometry

Xiao Hu
Paul Thevenon

Résumé

Nowadays, a precise position and attitude information is significantly required for specific application scenarios like autonomous driving of vehicles or precise mobile mapping. The GNSS carrier phase measurements appear compulsory to satisfy the sub-meter or even centimeter level need for this kind of requirement. In this paper, we firstly use a method includes an array of receivers with known geometry to enhance the performance of the RTK in different environments. Taking advantages of the attitude information and known geometry of the array of receivers, we are able to improve some internal steps of precise position computation. Different scenarios are conducted including varying the distance between the 2 antennas of the receiver array, the satellite geometry and the amplitude of the noise measurement to validate the influence of the using of an array of receivers. The simulations results show that our multi-receiver RTK system is more robust to noise and degraded satellite geometry, in terms of ambiguity fixing rate, and get a better position accuracy under same conditions when comparing with the single receiver system.
Fichier principal
Vignette du fichier
Improvement of RTK performances using an array of receivers with known geometry_Xiao HU et al_Final Version - V2.pdf (1.04 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02549028 , version 1 (29-04-2020)

Identifiants

Citer

Xiao Hu, Paul Thevenon, Christophe Macabiau. Improvement of RTK performances using an array of receivers with known geometry. ION ITM 2020, International Technical Meeting, Jan 2020, San Diego, United States. ⟨10.33012/2020.17154⟩. ⟨hal-02549028⟩
131 Consultations
264 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More