Frequency Domain Overbounding with Multiple Time Series and PSD Estimators

Omar García Crespillo, Steven Langel, and Mathieu Joerger

Abstract: In this paper, we address practical aspects of Frequency Domain Overbounding (FDO). A first challenge in Power Spectral Density (PSD) modeling is that the sample PSD estimate itself may vary because it is derived from a limited dataset. The estimated PSD curves may differ significantly depending on the choice of an estimator, window and on the number of data samples. We develop a solution to find a PSD model that accounts for variability in sample PSD estimate. Second, we identify open challenges that arise when finding a PSD bounding model combining multiple time series and address them using two alternative approaches.
Published in: Proceedings of the 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024)
September 16 - 20, 2024
Hilton Baltimore Inner Harbor
Baltimore, Maryland
Pages: 107 - 113
Cite this article: Crespillo, Omar García, Langel, Steven, Joerger, Mathieu, "Frequency Domain Overbounding with Multiple Time Series and PSD Estimators," Proceedings of the 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024), Baltimore, Maryland, September 2024, pp. 107-113. https://doi.org/10.33012/2024.19704
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