Técnica Tensorial de Estimação de Atraso para  GPS de Segunda e Terceira Geração

Zanatta, Mateus; Lima, Daniel Valle de; Costa, J. Goncalves Pinto Firmino Da; Miranda, Ricardo; Antreich, Felix; Júnior, Rafael Timóteo de Sousa

doi:10.14209/sbrt.2018.130

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…where q contains the cross-correlation values at each tap of the correlator bank. Then, as shown in [10], [14], [15], [20], [38], [39], the resulting vector q is interpolated using a simple cubic spline interpolation. Thus, by using the resulting interpolated vector, we can derive the cost function F(κ) [20], which is the cross-correlation function with the received LOS signal.…”

Section: F Time-delay Estimation (Tde)mentioning

confidence: 99%

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

et al. 2020

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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 timedelay 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). INDEX TERMS Global Navigation Satellite Systems (GNSS), Global Positioning System (GPS), GPS3, Time-delay estimation (TDE), Multipath components, Model order selection (MOS).

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