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Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments
The use of antenna arrays in Global Navigation Satellite System (GNSS) applications is gaining significant attention due to its superior capability to suppress both narrowband and wideband interference. However, the phase distortions resulting from array processing may limit the applicability of the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134483/ https://www.ncbi.nlm.nih.gov/pubmed/27809252 http://dx.doi.org/10.3390/s16111824 |
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author | Daneshmand, Saeed Marathe, Thyagaraja Lachapelle, Gérard |
author_facet | Daneshmand, Saeed Marathe, Thyagaraja Lachapelle, Gérard |
author_sort | Daneshmand, Saeed |
collection | PubMed |
description | The use of antenna arrays in Global Navigation Satellite System (GNSS) applications is gaining significant attention due to its superior capability to suppress both narrowband and wideband interference. However, the phase distortions resulting from array processing may limit the applicability of these methods for high precision applications using carrier phase based positioning techniques. This paper studies the phase distortions occurring with the adaptive blind beamforming method in which satellite angle of arrival (AoA) information is not employed in the optimization problem. To cater to non-stationary interference scenarios, the array weights of the adaptive beamformer are continuously updated. The effects of these continuous updates on the tracking parameters of a GNSS receiver are analyzed. The second part of this paper focuses on reducing the phase distortions during the blind beamforming process in order to allow the receiver to perform carrier phase based positioning by applying a constraint on the structure of the array configuration and by compensating the array uncertainties. Limitations of the previous methods are studied and a new method is proposed that keeps the simplicity of the blind beamformer structure and, at the same time, reduces tracking degradations while achieving millimetre level positioning accuracy in interference environments. To verify the applicability of the proposed method and analyze the degradations, array signals corresponding to the GPS L1 band are generated using a combination of hardware and software simulators. Furthermore, the amount of degradation and performance of the proposed method under different conditions are evaluated based on Monte Carlo simulations. |
format | Online Article Text |
id | pubmed-5134483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51344832017-01-03 Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments Daneshmand, Saeed Marathe, Thyagaraja Lachapelle, Gérard Sensors (Basel) Article The use of antenna arrays in Global Navigation Satellite System (GNSS) applications is gaining significant attention due to its superior capability to suppress both narrowband and wideband interference. However, the phase distortions resulting from array processing may limit the applicability of these methods for high precision applications using carrier phase based positioning techniques. This paper studies the phase distortions occurring with the adaptive blind beamforming method in which satellite angle of arrival (AoA) information is not employed in the optimization problem. To cater to non-stationary interference scenarios, the array weights of the adaptive beamformer are continuously updated. The effects of these continuous updates on the tracking parameters of a GNSS receiver are analyzed. The second part of this paper focuses on reducing the phase distortions during the blind beamforming process in order to allow the receiver to perform carrier phase based positioning by applying a constraint on the structure of the array configuration and by compensating the array uncertainties. Limitations of the previous methods are studied and a new method is proposed that keeps the simplicity of the blind beamformer structure and, at the same time, reduces tracking degradations while achieving millimetre level positioning accuracy in interference environments. To verify the applicability of the proposed method and analyze the degradations, array signals corresponding to the GPS L1 band are generated using a combination of hardware and software simulators. Furthermore, the amount of degradation and performance of the proposed method under different conditions are evaluated based on Monte Carlo simulations. MDPI 2016-10-31 /pmc/articles/PMC5134483/ /pubmed/27809252 http://dx.doi.org/10.3390/s16111824 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Daneshmand, Saeed Marathe, Thyagaraja Lachapelle, Gérard Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments |
title | Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments |
title_full | Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments |
title_fullStr | Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments |
title_full_unstemmed | Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments |
title_short | Millimetre Level Accuracy GNSS Positioning with the Blind Adaptive Beamforming Method in Interference Environments |
title_sort | millimetre level accuracy gnss positioning with the blind adaptive beamforming method in interference environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134483/ https://www.ncbi.nlm.nih.gov/pubmed/27809252 http://dx.doi.org/10.3390/s16111824 |
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