|Abstract:||This paper discusses the unambiguous estimation of high-order BOC signals in the cloud based on signal snapshots gathered by low-end SDR receivers. In particular, the sensitivity and distortion problems are introduced, assessing the probability of false lock when using a conventional ML-based estimator (based on the search of the absolute maximum of the cross-correlation function) and a post-correlation ML-based estimator exploiting the a priori known distortion of the cross-correlation function introduced by the filtering stage of the SDR receiver. The simulation results show that, while distortion issues can be handled, sensitivity remains a problem at low C/No conditions and when limited snapshot lengths are considered.|
Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017)
September 25 - 29, 2017
Oregon Convention Center
|Pages:||3745 - 3750|
|Cite this article:||
Garcia-Molina, J.A., Fernandez-Rubio, J.A., Weiler, R., Crisci, M., "Snapshot Processing of High-Order BOC Signals in the Cloud: On Sensitivity and Distortion Effects," Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 3745-3750.
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