Data Decoding Analysis of Next Generation GNSS Signals

Lorenzo Ortega Espluga, Pau Closas, Charly Poulliat, Marie-Laure Boucheret, Marion Aubault-Roudier, Hanaa Al-Bitar

Abstract:	Error correcting schemes are fundamental in the new generation of data navigation signals. Thanks to those, the system has the capability to correct possible data navigation errors, which potentially induces delays in first fix of the receiver. In the GNSS receivers, those error correcting schemes use the Log Likelihood Ratio (LLR) as the input of the decoding algorithm. Until now, the LLR was always computed under the Gaussian assumption and considering perfect Complete State Information (CSI), which does not hold in most of the real scenarios. Then; in this paper we proposed several methods to compute the LLR, considering a set of realitic scenarios and considering that perfect CSI is not available at the receiver. We test the proposed LLRs for several new generation GNSS signals.
Published in:	Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019) September 16 - 20, 2019 Hyatt Regency Miami Miami, Florida
Pages:	1090 - 1105
Cite this article:	Espluga, Lorenzo Ortega, Closas, Pau, Poulliat, Charly, Boucheret, Marie-Laure, Aubault-Roudier, Marion, Al-Bitar, Hanaa, "Data Decoding Analysis of Next Generation GNSS Signals," Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), Miami, Florida, September 2019, pp. 1090-1105. https://doi.org/10.33012/2019.17046
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