Tensor-Based Framework With Model Order Selection and High Accuracy Factor Decomposition for Time-Delay Estimation in Dynamic Multipath Scenarios

Tensor-Based Framework With Model Order Selection and High Accuracy Factor Decomposition for Time-Delay Estimation in Dynamic Multipath Scenarios

Global Navigation Satellite Systems (GNSS) are crucial for applications that demand very accurate positioning. Tensor-based time-delay estimation methods, such as CPD-GEVD, DoA/KRF, and SECSI, combined with the GPS3 L1C signal, are capable of, significantly, mitigating the positioning degradation ca...

Full description

Bibliographic Details
Main Authors: Mateus Da Rosa Zanatta, Joao Paulo Carvalho Lustosa Da Costa, Felix Antreich, Martin Haardt, Gordon Elger, Fabio Lucio Lopes De Mendonca, Rafael Timoteo De Sousa
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Global navigation satellite systems (GNSS)
global positioning system (GPS)
GPS3
time-delay estimation (TDE)
multipath components
model order selection (MOS)
Online Access:https://ieeexplore.ieee.org/document/9200326/

Internet

https://ieeexplore.ieee.org/document/9200326/

Similar Items