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

da Rosa Zanatta M, Lópes de Mendonça FL, Antreich F, Valle de Lima D, Kehrle Miranda R, Del Galdo G, João JP (2019)

Publication Type: Journal article

Publication year: 2019

Journal

Digital Signal Processing Elsevier

Book Volume: 92

Pages Range: 1-19

DOI: 10.1016/j.dsp.2019.04.003

Abstract

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.

Involved external institutions

Universidade de Brasília BR Brazil (BR) Technische Universität Ilmenau DE Germany (DE) Instituto Tecnológico de Aeronáutica BR Brazil (BR)

How to cite

APA:

da Rosa Zanatta, M., Lópes de Mendonça, F.L., Antreich, F., Valle de Lima, D., Kehrle Miranda, R., Del Galdo, G., & João, J.P. (2019). Tensor-based time-delay estimation for second and third generation global positioning system. Digital Signal Processing, 92, 1-19. https://doi.org/10.1016/j.dsp.2019.04.003

MLA:

da Rosa Zanatta, Mateus, et al. "Tensor-based time-delay estimation for second and third generation global positioning system." Digital Signal Processing 92 (2019): 1-19.

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