Galileo E6-B Tracking with Non-coherent Integration and Kalman Filtering

Autor: Melania Susi, Daniele Borio
Rok vydání: 2019
Předmět:
Zdroj: Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019).
ISSN: 2331-5954
Popis: The Galileo High Accuracy service, through its E6-B signal, will provide free Precise Point Positioning (PPP) corrections enabling users to achieve decimeter level accuracies in a standalone way. At the same time the E6-C pilot component will be encrypted for increasing the signal robustness through authentication. This paper investigates the combined use of Kalman Filtering and non-coherent integration for enhancing the sensitivity of the data-only tracking. The analysis is performed by using an in-house developed Software Defined Radio (SDR) including different tracking strategies. They are standard dataonly tracking, pilot and data-only tracking using Kalman Filtering with coherent and non-coherent integration, respectively. The proposed tracking algorithms are assessed by using both simulated and live data. A hardware simulator is exploited to generate signals with decreasing Carrier-to-Noise Power Spectral Density Ratio (C/N0) in order to assess the sensitivity of the different tracking approaches. Moreover, live static and dynamic data, collected under harsh environments, are exploited to challenge the different tracking strategies. The analysis shows that, for the test cases analysed in this paper, the use of Kalman Filtering with extended non-coherent integration is effective in bridging the gap between data and pilot processing.
Databáze: OpenAIRE