Survey on Recent Advances in Integrated GNSSs Towards Seamless Navigation Using Multi-Sensor Fusion Technology

Elsanhoury, Mahmoud; Koljonen, Janne; Välisuo, Petri; Elmusrati, Mohammed

doi:10.33012/2021.17961

Cited by 11 publications

(4 citation statements)

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“…Fusion-based positioning methods combine the measurements of multiple sensors to further refine the PNT solution, maximising the information content, mitigating the sources of errors and thus reaching higher precision [180]. The main steps of sensor fusion are described in Figure 12, where data from a group of sensors are locally processed using their corresponding solvers (algorithms), then the output is weighed and later combined with other sensors (fused) globally using the proper fusion scheme to produce the final optimal solution.…”

Section: ) Sensor Fusionmentioning

confidence: 99%

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Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

et al. 2022

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More and more satellites are populating the sky nowadays in the Low Earth orbits (LEO). Most of the targeted applications are related to broadband and narrowband communications, Earth observation, synthetic aperture radar, and internet-of-Things (IoT) connectivity. In addition to these targeted applications, there is yet-to-be-harnessed potential for LEO and positioning, navigation, and timing (PNT) systems, or what is nowadays referred to as LEO-PNT. No commercial LEO-PNT solutions currently exist and there is no unified research on LEO-PNT concepts. Our survey aims to fill the gaps in knowledge regarding what a LEO-PNT system entails, its technical design steps and challenges, what physical layer parameters are viable solutions, what tools can be used for a LEO-PNT design (e.g., optimisation steps, hardware and software simulators, etc.), the existing models of wireless channels for satellite-toground and ground-to-satellite propagation, and the commercial prospects of a future LEO-PNT system. A comprehensive and multidisciplinary survey is provided by a team of authors with complementary expertise in wireless communications, signal processing, navigation and tracking, physics, machine learning, Earth observation, remote sensing, digital economy, and business models.

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Section: ) Sensor Fusionmentioning

confidence: 99%

“…LEO satellites have great potential to benefit from sensor fusion with other technologies to leverage PNT-based applications. The fusion of LEO positioning data with other FIGURE 12: Sensor fusion framework, adapted from [180], [190].…”

Section: ) Sensor Fusionmentioning

confidence: 99%

Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

et al. 2022

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“…Sensor fusion is a computational procedure to combine the measurements from multiple sources such that the output information after fusion is maximized [183].…”

Section: Advances In Sensor Fusion Techniquesmentioning

confidence: 99%

“…Weights space = 𝒘 𝟏 𝒘 𝟐 ⋯ 𝒘 𝑵 𝑻 FIGURE 9. Fusion-based positioning framework, adapted from [183], [184].…”

Section: Advances In Sensor Fusion Techniquesmentioning

confidence: 99%

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

et al. 2022

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Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based indoor localisation systems. In addition, UWB is characterised by large bandwidth and data rate, short message length, low transmission power and high penetration capability, which are all favourable for indoor positioning applications. However, UWB localisation technology faces several challenges that are somewhat similar to other technologies, such as mitigating errors that originate from non-line-of-sight (NLOS) situations and tackling signal interference in dense environments, and when required to operate in extreme conditions. This paper reviews the most recent advances made in UWB positioning systems over the last five years, with a focus on high-ranking articles. In addition to going through more conventional solutions to UWB challenges, modern solutions, which involve the use of machine learning and sensor data fusion, are discussed. We highlight the most promising findings of the recently implemented and foreseen UWB positioning systems by providing a summary of each reviewed article. Additionally, we address a major challenge that faces the UWB positioning technology: NLOS situations, focusing on some proposed remedies such as multi-sensor fusion and machine learning. As an application, this study introduces how UWB technology promotes smart logistics by offering indoor positioning to improve efficiencies in the delivery of goods from the source to the customer. Furthermore, it demonstrates the benefits of UWB technology for accurate positioning and tracking of both stationary and moving items, and machinery in an indoor logistics environment.

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An efficient end-to-end EKF-SLAM architecture based on LiDAR, GNSS, and IMU data sensor fusion for autonomous ground vehicles

MAILKA,

Abouzahir,

Ramzi

2023

Multimed Tools Appl

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Survey on Recent Advances in Integrated GNSSs Towards Seamless Navigation Using Multi-Sensor Fusion Technology

Cited by 11 publications

References 0 publications

Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

An efficient end-to-end EKF-SLAM architecture based on LiDAR, GNSS, and IMU data sensor fusion for autonomous ground vehicles

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