Improving the Estimation of Attenuation in Q/V Band Systems with a Kalman-Based Scintillation Filter
Abstract
This paper presents the design and implementation of the Scintillation Filter by Kalman-colored algorithm (SciFi), which is used to remove tropospheric scintillation from Q/V bands total attenuation data series. In contrast to the classical methods using low-pass filters, the SciFi algorithm allows to estimate both the attenuation, its slope and a confidence interval. Moreover, the linear observer structure of the Kalman filter allows it to operate in real time. Therefore, the states and uncertainties estimated by SciFi can be used as input for Fade Mitigation Techniques (FMT) such as Adaptive Coding and Modulation (ACM) or Site Diversity (SD). In this article, we propose a method to tune the noise level based on recommendations approved by the ITU-R. Finally, some results of filtering on Alphasat experimental data are discussed.
Cite
@article{arxiv.2410.13524,
title = {Improving the Estimation of Attenuation in Q/V Band Systems with a Kalman-Based Scintillation Filter},
author = {Justin Cano and Julien Queyrel and Laurent Castanet and Michel Bousquet},
journal= {arXiv preprint arXiv:2410.13524},
year = {2025}
}
Comments
Ka and Broadband Communications Conference, Seattle, WA, USA, Sept 2024. Awarded as best paper. Extended version submitted to International Journal of Satellite Communications (Ka Special Issue)