GNSS Data Message Performance: A New Methodology for its Understanding and Ideas for its Improvement

M. Anghileri, M. Paonni, D. Fontanella, B. Eissfeller

Abstract: The performance analysis of GNSS signal properties and components like the modulation or the spreading codes is well defined in the literature, so that figures like the code tracking noise, multipath error envelopes, S-curve bias or auto- and cross-correlation of the codes are commonly accepted and widely used by GNSS scientists. On the contrary, there are still neither well-defined figures of merit nor abundance of results concerning the performance of GNSS data messages. The scope of this work is to identify and define appropriate dimensions and figures of merit to characterize the performance of GNSS data messages and to use them for evaluating an exemplary set of signals. After defining the various figures of merit, the methodology for their computation is explained and used to assess the data message performance of the open/civil service GPS and Galileo signals. In this way we could obtain a clear overall performance assessment evidencing the strengths and weaknesses of the various message design choices. The interesting results of the extensive comparison among the various messages can support new signal and message design activities or, where still possible, give useful indications for the optimization of the current baselines. To illustrate this point the work is concluded by giving some ideas for improving the data message performance of GNSS signals.
Published in: Proceedings of the 2013 International Technical Meeting of The Institute of Navigation
January 29 - 27, 2013
Catamaran Resort Hotel
San Diego, California
Pages: 638 - 650
Cite this article: Anghileri, M., Paonni, M., Fontanella, D., Eissfeller, B., "GNSS Data Message Performance: A New Methodology for its Understanding and Ideas for its Improvement," Proceedings of the 2013 International Technical Meeting of The Institute of Navigation, San Diego, California, January 2013, pp. 638-650.
Full Paper: ION Members/Non-Members: 1 Download Credit
Sign In