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Multipath mitigation in global navigation satellite systems using a bayesian hierarchical model with Bernoulli Laplacian priors.

Lesouple, Julien and Tourneret, Jean-Yves and Sahmoudi, Mohamed and Barbiero, Franck and Faurie, Frédéric Multipath mitigation in global navigation satellite systems using a bayesian hierarchical model with Bernoulli Laplacian priors. (2018) In: Workshop on Statistical Signal Processing - SSP 2018, 10 June 2018 - 13 June 2018 (Freiburg Im Breisgau, Germany).

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Official URL: https://ssp2018.org/program/tuesday/

Abstract

A new sparse estimation method was recently introduced in a previous work to correct biases due to multipath (MP) in GNSS measurements. The proposed strategy was based on the resolution of a LASSO problem constructed from the navigation equations using the reweighted-l1 method. This strategy requires to adjust the regularization parameters balancing the data fidelity term and the involved regularizations. This paper introduces a new Bayesian estimation method allowing the MP biases and the unknown model parameters and hyperparameters to be estimated directly from the GNSS measurements. The proposed method is based on Bernoulli- Laplacian priors, promoting sparsity of MP biases.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National d'Études Spatiales - CNES (FRANCE)
Université de Toulouse > Ecole Nationale de l'Aviation Civile - ENAC (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Thales (FRANCE)
Other partners > Telecom ParisTech (FRANCE)
Other partners > Direction Générale de l’Aviation Civile - DGAC (FRANCE)
Other partners > M3 Systems (FRANCE)
Laboratory name:
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Deposited By: Julien Lesouple
Deposited On:14 Jun 2018 15:32

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