Demonstration of Cloud GNSS Signal Processing

V. Lucas-Sabola, G. Seco-Granados, J.A. López-Salcedo, J.A. García-Molina, M. Crisci

Abstract:	Nowadays, Global Navigation Satellite Systems (GNSS) receivers are used in applications in which size, power or computational constraints are gradually becoming of paramount importance. Furthermore, new GNSS will be fully operational in the coming years, which will considerably increase the amount of data to be processed by the user receiver. Because of the constraints of current user GNSS receivers, the employment of Cloud computing has become an alternative for migrating the GNSS signal processing tasks into a distributed, scalable and high-performance computing platform. Therefore, the Cloud paradigm facilitates the possibility of developing innovative applications where their particularities (e.g. massive processing of data, cooperation among users, security-related applications, etc.) make them suitable for implementation using a cloud-based infrastructure. In this context, the purpose of this work is to introduce the concept of Cloud GNSS signal processing, based on the Cloud GNSS receiver proof-of-concept developed by the authors in collaboration with ESA. The focus will be placed on the Cloud GNSS receiver architecture, as well as on the performance evaluation of Elastic Compute Cloud (EC2) instances offered by Amazon Web Services (AWS). To do so, different tests on GNSS signal processing will be carried out along with the corresponding the cost of the EC2 service.
Published in:	Proceedings of the 29th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2016) September 12 - 16, 2016 Oregon Convention Center Portland, Oregon
Pages:	34 - 43
Cite this article:	Lucas-Sabola, V., Seco-Granados, G., López-Salcedo, J.A., García-Molina, J.A., Crisci, M., "Demonstration of Cloud GNSS Signal Processing," Proceedings of the 29th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2016), Portland, Oregon, September 2016, pp. 34-43. https://doi.org/10.33012/2016.14574
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