Development of an Interoperable GNSS Space Service Volume

Parker, Joel J. K.; Bauer, Frank; Ashman, Benjamin W.; Miller, James J.; Enderle, Werner; Blonski, Daniel

doi:10.33012/2018.15968

Cited by 11 publications

(7 citation statements)

References 7 publications

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“…Satellite navigation services, also known as global navigation satellite systems (GNSS), are a network of satellite-based positioning systems that provide location and time information to users around the world [207,208]. These services use a constellation of satellites in orbit around the Earth to transmit signals to a receiver on the ground, which determines its precise position.…”

Section: Satellite Navigation Servicesmentioning

confidence: 99%

Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters

Alahmari,

Mehmood,

Alzahrani

et al. 2023

Sustainability

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The rise in the service economy has been fueled by breakthroughs in technology, globalization, and evolving consumer patterns. However, this sector faces various challenges, such as issues related to service quality, innovation, efficiency, and sustainability, as well as macro-level challenges such as globalization, geopolitical risks, failures of financial institutions, technological disruptions, climate change, demographic shifts, and regulatory changes. The impacts of these challenges on society and the economy can be both significant and unpredictable, potentially endangering sustainability. Therefore, it is crucial to comprehensively study services and service economies at both holistic and local levels. To this end, the objective of this study is to develop and validate an artificial-intelligence-based methodology to gain a comprehensive understanding of the service sector by identifying key parameters from the academic literature and public opinion. This methodology aims to provide in-depth insights into the creation of smarter, more sustainable services and economies, ultimately contributing to the development of sustainable future societies. A software tool is developed that employs a data-driven approach involving the use of word embeddings, dimensionality reduction, clustering, and word importance. A large dataset comprising 175 K research articles was created from the Scopus database, and after analysis, 29 distinct parameters related to the service sector were identified and grouped into 6 macro-parameters: smart society and infrastructure, digital transformation, service lifecycle management, and others. The analysis of over 112 K tweets collected from Saudi Arabia identified 11 parameters categorized into 2 macro-parameters: private sector services and government services. The software tool was used to generate a knowledge structure, taxonomy, and framework for the service sector, in addition to a detailed literature review based on over 300 research articles. The conclusions highlight the significant theoretical and practical implications of the presented study for autonomous capabilities in systems, which can contribute to the development of sustainable, responsible, and smarter economies and societies.

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Section: Satellite Navigation Servicesmentioning

confidence: 99%

Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters

Alahmari,

Mehmood,

Alzahrani

et al. 2023

Sustainability

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“…ICG is leading to coordinate the development of an interoperable SSV across the navigation service provider, including GPS, BDS, Galileo, GLONASS, etc. [3,4]. An analysis of the BDS-3 performance 2 of 15 of the main-lobe and the side-lobe signals for three typical SSV missions is conducted based on antenna patterns from the actual mission design data [5,6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of BDS/GPS Signals’ Characteristics and Navigation Accuracy for a Geostationary Satellite

et al. 2021

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The utilization of Global Navigation Satellite System (GNSS) is becoming an attractive navigation approach for geostationary orbit (GEO) satellites. A high-sensitivity receiver compatible with Global Position System (GPS) developed by the United States and BeiDou Navigation Satellite System (BDS) developed by China has been used in a GEO satellite named TJS-5 to demonstrate feasibility of real-time navigation. According to inflight data, the GNSS signal characteristics including availability, position dilution of precision (PDOP), carrier-to-noise ratio (C/N0), observations quantity and accuracy are analyzed. The mean number of GPS and GPS + BDS satellites tracked are 7.4 and 11.7 and the mean PDOP of GPS and GPS + BDS are 10.24 and 3.91, respectively. The use of BDS significantly increases the number of available navigation satellites and improves the PDOP. The number of observations with respect to C/N0 is illustrated in detail. The standard deviation of the pseudorange noises are less than 4 m, and the corresponding carrier phase noises are mostly less than 8 mm. We present the navigation performance using only GPS observations and GPS + BDS observations combination at different weights through comparisons with the precision reference orbits. When GPS combined with BDS observations, the root mean square (RMS) of the single-epoch least square position accuracy can improve from 32.1 m to 16.5 m and the corresponding velocity accuracy can improve from 0.238 m/s to 0.165 m/s. The RMS of real-time orbit determination position accuracy is 5.55 m and the corresponding velocity accuracy is 0.697 mm/s when using GPS and BDS combinations. Especially, the position accuracy in x-axis direction reduced from 7.24 m to 4.09 m when combined GPS with BDS observations.

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“…With the rapid development of four GNSSs and two regional augmentation systems, the combination of these navigation systems has the potential to greatly improve signal availability, as these systems and signals are designed to be interoperable [2][3][4]. To compensate for signal power loss, Lockheed Martin Space Systems have increased the antenna gain for GPS Block IIR and IIR-M satellites, and the L1/L2 signals showed an increase of 1 and 2 dB in received power, respectively, at the edge of the Earth [5].…”

Section: Introductionmentioning

confidence: 99%

Multi‐satellite autonomous orbit determination by game‐theoretic optimization in space service volume

Lin

Zhan

Yang

et al. 2021

IET Radar Sonar & Navi

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Global navigation satellite systems (GNSSs) are increasingly used for multi-satellite missions in space service volume (SSV). However, the performance of GNSS-based autonomous orbit determination (AOD) for SSV users is severely constrained by limited measurement accuracy and signal availability. Relative measurement and orbital dynamic models can be used to improve the AOD performance when the estimator is prone to divergence due to the cross-correlation of the distributed formation network. In this paper, a sequential game-theoretic (SGT) optimization algorithm is proposed to deal with crosscorrelation issues when fusing the GNSS and relative measurements for dynamic AOD in the SSV field. A four geostationary Earth orbit satellite mission is simulated as the case study for the AOD performance analysis. The conventional sequential covariance intersection (SCI) is also presented for comparison purposes. The simulation results show that with the combination of GNSS and relative measurements with 10 m and 0.1 m precision, the SGT-based AOD can achieve about 1.9 m three-dimensional positioning accuracy, which is 80% better than in the GNSS-only case. It is also demonstrated that the SGT-based AOD is superior to the SCI-based AOD by 50% in the fusion of GNSS and relative measurements in the range of 1-10 m and with 0.1-0.001 m accuracy.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Development of an Interoperable GNSS Space Service Volume

Cited by 11 publications

References 7 publications

Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters

Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters

Analysis of BDS/GPS Signals’ Characteristics and Navigation Accuracy for a Geostationary Satellite

Multi‐satellite autonomous orbit determination by game‐theoretic optimization in space service volume

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