GPS Multipath Detection in the Frequency Domain

Autor: Amani, Elie, Djouani, Karim, Kurien, Anish, De Boer, Jean-Rémi, Vigneau, Willy, Ries, Lionel
Přispěvatelé: M3 Systems (FRANCE), Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), French South African Institute of Technology (F’SATI), Tshwane University of Technology [Pretoria] (TUT), Centre National d'Études Spatiales [Toulouse] (CNES), Amani, Elie
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Proceedings of the 2016 European Navigation Conference (ENC 2016)
2016 European Navigation Conference (ENC 2016)
2016 European Navigation Conference (ENC 2016), May 2016, Helsinki, Finland
Popis: Multipath is among the major sources of errors in precise positioning using GPS and continues to be extensively studied. Two Fast Fourier Transform (FFT)-based detectors are presented in this paper as GPS multipath detection techniques. The detectors are formulated as binary hypothesis tests under the assumption that the multipath exists for a sufficient time frame that allows its detection based on the quadrature arm of the coherent Early-minus-Late discriminator (Q EmL) for a scalar tracking loop (STL) or on the quadrature (Q EmL) and/or in-phase arm (I EmL) for a vector tracking loop (VTL), using an observation window of N samples. Performance analysis of the suggested detectors is done on multipath signal data acquired from the multipath environment simulator developed by the German Aerospace Centre (DLR) as well as on multipath data from real GPS signals. Application of the detection tests to correlator outputs of scalar and vector tracking loops shows that they may be used to exclude multipath contaminated satellites from the navigation solution. These detection techniques can be extended to other Global Navigation Satellite Systems (GNSS) such as GLONASS, Galileo and Beidou.
Comment: 2016 European Navigation Conference (ENC 2016), May 2016, Helsinki, Finland. Proceedings of the 2016 European Navigation Conference (ENC 2016)
Databáze: OpenAIRE