A Method to determine secondary codes and carrier phases of short snapshot signals
| Autor: | Xiao Liu, Pau Closas, Adrià Gusi-Amigó, Adria Rovira-Garcia, Jaume Sanz |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. gAGE - Grup d'Astronomia i Geomàtica |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Imatges--Processament
Secondary code indexes Remote-sensing images Avions no tripulats Aerospace Engineering Data bit ambiguity Enginyeria de la telecomunicació::Processament del senyal [Àrees temàtiques de la UPC] Mobile geographic information systems Sistema de posicionament global Image processing Integer millisecond ambiguity Imatges satel·litàries Localització per satèl·lit Sistemes de Electrical and Electronic Engineering Multi-hypotheses acquisition Drone aircraft Snapshot positioning |
| ISSN: | 2018-0942 |
| Popis: | Recently, the Snapshot Real-Time Kinematic (SRTK) technique was demonstrated, which aims at achieving high accuracy navigation solutions with a very short signal collection. The main challenge in implementing SRTK is the generation of valid carrier-phase measurements, which relies on a data bit ambiguity (DBA) resolution process. For pilot signals, this step is equivalent to the correct selection of secondary code indexes (SCIs) from the ambiguous sets obtained from a multi-hypotheses (MH) acquisition process. Currently, SCI ambiguities are solved independently for each satellite. However, this method is ineffective when the snapshot signal is relatively short. In order to tackle this problem, this article proposes a new method that makes use of assistance data and processes information from all satellites to jointly solve the DBA issue. This new method is shown to be more effective in determining the correct SCI and enabling valid snapshot carrier-phase measurements, largely expanding the scope of high-accuracy snapshot positioning. This research was supported by the Albora Technologies and Universitat Politècnica de Catalunya with industrial PhD grant number DI 082 from the Generalitat de Catalunya and the project RTI2018-094295-B-I00 funded by the MCIN/AEI 10.13039/501100011033 which is co-funded by the FEDER programme. P.C. has been partially supported by the NSF under Awards CNS-1815349 and ECCS-1845833. |
| Databáze: | OpenAIRE |
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