Opportunities and challenges of Galileo E5 wideband real signals processing

Linty, Nicola; Bhuiyan, Mohammad Zahidul H.; Kirkko-Jaakkola, Martti

doi:10.1109/icl-gnss49876.2020.9115573

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…Investigations on the use of Galileo signals alone [39], or in combination with the Global Positioning System (GPS) for navigation purposes, have been widely pursued since the beginning of Galileo [40] and the development and availability of Galileo receivers [41]. Since 2016, GNSS receivers have been available on almost every smartphone [42].…”

Section: Galileo Self-localizationmentioning

confidence: 99%

Seamless Fusion: Multi-Modal Localization for First Responders in Challenging Environments

Dahlke,

Drakoulis,

Fernández García

et al. 2024

Sensors

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In dynamic and unpredictable environments, the precise localization of first responders and rescuers is crucial for effective incident response. This paper introduces a novel approach leveraging three complementary localization modalities: visual-based, Galileo-based, and inertial-based. Each modality contributes uniquely to the final Fusion tool, facilitating seamless indoor and outdoor localization, offering a robust and accurate localization solution without reliance on pre-existing infrastructure, essential for maintaining responder safety and optimizing operational effectiveness. The visual-based localization method utilizes an RGB camera coupled with a modified implementation of the ORB-SLAM2 method, enabling operation with or without prior area scanning. The Galileo-based localization method employs a lightweight prototype equipped with a high-accuracy GNSS receiver board, tailored to meet the specific needs of first responders. The inertial-based localization method utilizes sensor fusion, primarily leveraging smartphone inertial measurement units, to predict and adjust first responders’ positions incrementally, compensating for the GPS signal attenuation indoors. A comprehensive validation test involving various environmental conditions was carried out to demonstrate the efficacy of the proposed fused localization tool. Our results show that our proposed solution always provides a location regardless of the conditions (indoors, outdoors, etc.), with an overall mean error of 1.73 m.

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Section: Galileo Self-localizationmentioning

confidence: 99%

Seamless Fusion: Multi-Modal Localization for First Responders in Challenging Environments

Dahlke,

Drakoulis,

Fernández García

et al. 2024

Sensors

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“…The software is the continuity of [19] with multi-constellation and multi-frequency capacities. Several works using the software have been published, demonstrating its usefulness in research [28], [29]. While FGI-GSRx's functionalities greatly extend upon those of Borre-SDR, its complicated implementation makes it hard to reuse and extend for our purposes.…”

Section: B Review Of Open-source Sdr Solutionsmentioning

confidence: 99%

An Open-Source Software-Defined Receiver for GNSS Algorithms Benchmarking

Grenier

Lohan

Ometov

et al. 2022

2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

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The development of new processing algorithms has always been at the centre of satellite navigation research, aiming to minimize complexity and maximize the quality of the results. Often, these two objectives cannot be achieved simultaneously; thus, identifying the necessary trade-offs are required. Over the last decade, the development of new GNSS constellations offering modernized signals at the cost of higher decoding complexity has led to many new algorithms proposals to decode these signals.Yet, the current research environment suffers from several flaws, namely a lack of interoperability and comparability between algorithms that do not allow a fair comparison between each proposal. Such a problem is the consequence of a lack of open-source solutions, leading to individual in-house software development and dataset acquisition. To address it, we postulate the need to develop an open-source research platform providing common software and reference datasets dedicated to specific environments and user scenarios. We present the current development status and provide a discussion on future developments.

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“…Investigations on the use of Galileo signals alone (Linty et al 2020) or in combination with GPS for navigation purposes were widely pursued since the start of Galileo (Margaria et al 2012) and the development and availability of Galileo receivers (Simsky and Sleewaegen 2015). Since 2016, GNSS receivers became available in almost every smartphone (Zangenehnejad and Gao 2021).…”

Section: Introductionmentioning

confidence: 99%

Self-Localization: A Proposal to Equip First Responders with a Robust and Accurate GNSS Device

2023

Proceedings of the 20th International Conference on Information Systems for Crisis Response and Management

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In this paper we explore the GNSS positioning capabilities in the context of search and rescue operations. Our contribution is a tool that robustly receives and precisely evaluates GNSS signals. The final positioning information is then transmitted to an orchestrator where other tools like augmented reality utilities or the command and control have access to. During the time from the project start in September 2021 to December 2022 the components have been chosen, and the design and software of the tool have been developed. Furthermore, some of the tool's capabilities have been tested and compared during field trials with first responders and measurement campaigns. The developed tool outperforms the commonly used smartphone localization in terms of accuracy, operation time and time to get a GNSS fix. This reliability improvement helps to identify someones position in adverse conditions.

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Opportunities and challenges of Galileo E5 wideband real signals processing

Cited by 5 publications

References 5 publications

Seamless Fusion: Multi-Modal Localization for First Responders in Challenging Environments

Seamless Fusion: Multi-Modal Localization for First Responders in Challenging Environments

An Open-Source Software-Defined Receiver for GNSS Algorithms Benchmarking

Self-Localization: A Proposal to Equip First Responders with a Robust and Accurate GNSS Device

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