Bayesian detection of interference in satellite navigation systems

Abstract : In this paper, we propose a novel algorithm to detect/compensate online interference effects when integrating Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS). The GNSS/INS coupling is usually performed by an Extended Kalman Filter (EKF) which yields an accurate and robust localization. However, interference cause the GNSS measurement noise to increase unexpectedly, hence degrade the positioning accuracy. In this context, our contribution is twofold. We first study the impact of the GNSS noise inflation on the covariance of the EKF outputs so as to compute a least square estimate of the potential variance jumps. Then, this estimation is used in a Bayesian test which decides whether interference are corrupting the GNSS signal or not. It allows us to estimate their times of occurrence as well. In this way, the impaired measurements can be discarded while their impact on the navigation solution can be compensated. The results show the performance of the proposed approach on simulated data.
Type de document :
Communication dans un congrès
International Conference on Acoustics, Speech and SIgnal Processing, May 2011, Romania. pp.4348, 2011
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https://hal.archives-ouvertes.fr/hal-00668857
Contributeur : Audrey Giremus <>
Soumis le : vendredi 10 février 2012 - 15:24:54
Dernière modification le : jeudi 11 janvier 2018 - 06:21:08

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  • HAL Id : hal-00668857, version 1

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Frederic Faurie, Audrey Giremus. Bayesian detection of interference in satellite navigation systems. International Conference on Acoustics, Speech and SIgnal Processing, May 2011, Romania. pp.4348, 2011. 〈hal-00668857〉

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