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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 caused by multipath components. However, even though these schemes require an estimated model order, they assume that the number of multipath components is constant. In GNSS applications, the number of multipath components is time-varying in dynamic scenarios. Thus, in this paper, we propose a tensor-based framework with model order selection and high accuracy factor decomposition for time-delay estimation in dynamic multipath scenarios. Our proposed approach exploits the estimates of the model order for each slice by grouping the data tensor slices into sub-tensors to provide high accuracy factor decomposition. We further enhance the proposed approach by incorporating the tensor-based Multiple Denoising (MuDe).
Author: | Mateus Da Rosa ZanattaORCiD, Joao Paulo Carvalho Lustosa da CostaORCiD, Felix AntreichORCiD, Martin HaardtORCiD, Gordon ElgerORCiD, Fábio Lúcio Lopes de Mendonça, Rafael Timóteo de Sousa JuniorORCiD |
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Language: | English |
Document Type: | Article |
Year of first Publication: | 2020 |
published in (English): | IEEE Access |
Publisher: | IEEE |
Place of publication: | Piscataway |
ISSN: | 2169-3536 |
Volume: | 8 |
First Page: | 174931 |
Last Page: | 174942 |
Review: | peer-review |
Open Access: | ja |
Version: | published |
Tag: | GPS3; Global navigation satellite systems (GNSS); global positioning system (GPS); model order selection (MOS); multipath components; time-delay estimation (TDE) |
URN: | urn:nbn:de:bvb:573-9528 |
Related Identifier: | https://doi.org/10.1109/ACCESS.2020.3024597 |
Faculties / Institutes / Organizations: | Fakultät Elektro- und Informationstechnik |
Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur" | |
Licence (German): | ![]() |
Release Date: | 2021/10/19 |