| Autor: |
Rougerie, Sébastien, Carrie, Guillaume, Ries, Lionel, Vincent, François, Pascaud, Romain, Monnerat, Michel |
| Přispěvatelé: |
Centre National d'Études Spatiales - CNES (FRANCE), Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Office National d'Etudes et Recherches Aérospatiales - ONERA (FRANCE), Thales (FRANCE) |
| Jazyk: |
angličtina |
| Rok vydání: |
2010 |
| Předmět: |
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| Popis: |
The use of antenna array for multipaths mitigation in Global Navigation Satellite Systems (GNSS) is considered in this paper. Theoretical studies have shown that using the spatial sampling in combination with time and frequency dimensions can significantly reduce the final position estimation error. However, the lack of practical considerations is still an issue. Technological defaults are usually not taken into account in numerical simulations, and these defaults can seriously degrade the performances of the processing as they modify the amplitude and phase responses of the array. Moreover, implemented algorithms usually result from a trade off between the accuracy and the complexity. This paper aims at presenting two new tools based on antenna arrays for studying the GNSS multipaths mitigation. The first one is a new implementation of the well known Space Alternating Generalized Expectation Maximization algorithm (SAGE). By filtering the multipaths on the space, time and frequency domains, SAGE algorithms can strongly reduce the time-delay estimation error. Nevertheless, SAGE implementation requires high memory and computation capacities, and real time SAGE processing is still not possible. Simulation results show that with the same level of performance, the new implementation of SAGE can reduce the size of the signal and consequently, the memory and computation load requirements. In order to validate the simulation results, CNES and ELTA are developing a new reconfigurable 2×2 array GNSS receiver. Thus, this paper exhibits also the architecture and the specifications of this new array dedicated to offline signal processing. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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