Tensor-based time-delay estimation for second and third generation global positioning system

Global Navigation Satellite Systems (GNSS), such as GPS, Galileo, GLONASS, and BeiDou, are vital for safety-critical applications such as civilian aviation and autonomous vehicles. These applications demand very accurate positioning, especially in scenarios in which multipath components are present....

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Bibliographic Details
Published in:Digital signal processing 2019-09, Vol.92, p.1-19
Main Authors: da Rosa Zanatta, Mateus, Lópes de Mendonça, Fábio Lúcio, Antreich, Felix, Valle de Lima, Daniel, Kehrle Miranda, Ricardo, Del Galdo, Giovanni, C. L. da Costa, João Paulo
Format: Article
Language:English
Subjects:
GNSS
GPS
GPS L1C
GPS3
SECSI
TDE
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Summary:Global Navigation Satellite Systems (GNSS), such as GPS, Galileo, GLONASS, and BeiDou, are vital for safety-critical applications such as civilian aviation and autonomous vehicles. These applications demand very accurate positioning, especially in scenarios in which multipath components are present. In this paper, we propose a semi-algebraic framework for approximate Canonical Polyadic Decomposition via simultaneous matrix diagonalization (SECSI) with Higher Order Singular Value Decomposition (HOSVD) low-rank approximation for time-delay estimation for antenna array based GNSS receivers. The HOSVD-SECSI based approach outperforms all the state-of-the-art tensor-based algorithms for time-delay estimation, mainly, for scenarios with highly correlated or coherent signals and in case of more than two multipath components.
ISSN:1051-2004
1095-4333
DOI:10.1016/j.dsp.2019.04.003