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Research on Multi-Source Data Fusion and satellite selection algorithm Optimization in Tightly Coupled GNSS/INS Navigation Systems

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REMOTE SENSING 2024年第15期16卷 2804页

作者： Yu, Xuyang Guo, Zhiming Wu, Liaoni Xiamen Univ Inst Artificial Intelligence Xiamen 361102 Peoples R China Xiamen Univ Sch Aerosp Engn Xiamen 361102 Peoples R China

With the increase in the number of Global Navigation satellite System (GNSS) satellites and their operating frequencies, richer observation data are provided for the tightly coupled Global Navigation satellite System/Inertial Navigation System (GNSS/INS). In this paper, we propose an efficient and robust combined navigation scheme to address the key issues of system accuracy, robustness, and computational efficiency. The tightly combined system fuses multi-source data such as the pseudo-range, the pseudo-range rate, and dual-antenna observations from the GNSS and the horizontal attitude angle from the vertical gyro (VG) in order to realize robust navigation in a sparse satellite observation environment. In addition, to cope with the high computational load faced by the system when the satellite observation conditions are good, we propose a weighted quasi-optimal satellite selection algorithm that reduces the computational burden of the navigation system by screening the observable satellites while ensuring the accuracy of the observation data. Finally, we comprehensively evaluate the proposed system through simulation experiments. The results show that, compared with the loosely coupled navigation system, our system has a significant improvement in state estimation accuracy and still provides reliable attitude estimation in regions with poor satellite observation conditions. In addition, in comparison experiments with the optimal satellite selection algorithm, our proposed satellite selection algorithm demonstrates greater advantages in terms of computational efficiency and engineering practicability.

关键词： tightly coupled navigation system GNSS/INS computational efficiency satellite selection algorithm

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A Multi-Constellations satellite selection algorithm for Integrated Global Navigation satellite Systems

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JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS 2009年第3期13卷 127-141页

作者： Roongpiboonsopit, Duangduen Karimi, Hassan A. Univ Pittsburgh Sch Informat Sci Geoinformat Lab Pittsburgh PA 15260 USA

The U.S. Global Positioning System (GPS) is currently the only fully operational global navigation satellite system (GNSS) that has been widely utilized in navigation and data collection, among other applications. In the near future, there will be other GNSSs such as the Russian GLONASS, the European Galileo, and the Chinese Compass that provide compatible services with GPS and will be available to all users. Besides operating in the single GNSS mode, future GNSS receivers will have the capability to operate in an integrated GNSS mode where they will be able to couple satellites from all available constellations for positioning solutions. However, tracking all visible satellites simultaneously increases the computational load of the receivers. This is particularly true with low-cost and compact receivers, which have limited computational resources and are commonly used in real-time intelligent transportation system (ITS) applications such as automatic vehicle location, route guidance, fleet management, vehicle dispatch, traveler information, and car navigation. These real-time applications also impose time constraints on positional updates (maximum required time interval between two epochs) while requiring high accuracy positioning solutions. To mitigate such burdens while maintaining benefits of the combined system, this article presents a new heuristic algorithm called a multi-constellations satellite selection algorithm (MCSSA). The algorithm allows an integrated GNSS receiver to track only a smaller set of visible satellites that can provide acceptable positioning solutions in the required time intervals. The MCSSA considers the geometric arrangements of visible satellites and selects the ones that spread evenly over the observed sky view. The performance of the MCSSA was validated by simulating the combined GPS and Galileo constellations. The accuracy and computation time of the MCSSA were compared with selected existing satellite selection algorithms. The resu

关键词： Integrated Global Navigation satellite System satellite selection algorithm Real-Time ITS Navigation

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BDS / GPS Fast satellite selection algorithm

BDS / GPS Fast Satellite Selection Algorithm

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Chinese Automation Congress (CAC)

作者： Pan, Wei Pei, Tengda Liu, Yan Dalian Univ Liaoning Engn Lab BeiDou High Precis Locat Serv Dalian Peoples R China

ISBN: (纸本)9781538635247

In order to realize the rapid satellite selection of BDS / GPS dual-mode navigation system under the premise of satisfying the normal positioning accuracy, a new fast satellite selection algorithm is proposed. The algorithm combines the traditional satellite selection algorithm with genetic algorithm. The satellite area is divided by the elevation angles information of the visible satellite, according to the characteristics of satellite distribution, then the optimal geometric distribution of satellites are selected. And the simplified GDOP calculation model is used as the fitness function to judge the merits and demerits of the individual in the genetic algorithm, so as to obtain the optimal solution of the smaller GDOP value and achieve the goal of fast satellite selection. Finally, the algorithm is compared with the optimal GDOP algorithm, and the experimental results show that the fast satellite selection algorithm guarantees real-time, which is better than the optimal GDOP algorithm, and the standard deviation in the two-dimensional coordinate system of longitude and latitude is 1.90m.

关键词： BDS / GPS satellite selection algorithm GDOP genetic algorithm

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Research on Fast satellite selection algorithm Based on Geometry

Research on Fast Satellite Selection Algorithm Based on Geom...

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4th China satellite Navigation Conference (CSNC)

作者： Zhang, Pengfei Xu, Chengdong Hu, Chunsheng Chen, Ye Beijing Inst Technol Sch Aerosp Engn Minist Educ Key Lab Dynam & Control Flight Vehicle 5 South Zhongguancun St Beijing 100081 Peoples R China North Univ China Sch Informat & Commun Engn Taiyuan 030051 Shanxi Peoples R China

ISBN: (纸本)9783642373985;9783642373978

The positioning accuracy with Global Navigation satellite System (GNSS) depends on both the pseudorange error and the geometric dilution of precision (GDOP), and GDOP is depended on the geometry of user/satellites which are selected. Positioning with a GNSS needs at least four satellites which are visible for the user so that at least four pseudorange measurements can be provided to determine the user position in three dimensions and the receiver clock offset. In order to select as few as visible satellites whose geometry is better, a new fast satellite selection algorithm based on geometry is come up with by this paper through analyzing geometry characteristics of the optimal visible satellites combination. The expected visible satellites are selected based on the distribution characteristics of elevation angles and azimuth angles combined with tetrahedron volume. Taking GPS, GLONASS and GALILEO system for examples, this paper compares the algorithm proposed by this paper with the best geometry satellite selection algorithm through simulation. The simulation results show that the algorithm proposed by this paper solves the problem that there are a lot of matrix multiplications and matrix inversions in the best geometry satellite selection algorithm. So the new algorithm can reduce computational complexity and increase receiver processing speed. The theory of the algorithm is simple and easy to use. Meanwhile, the algorithm can satisfy the real time requirements for users.

关键词： GNSS GDOP Geometry satellite selection algorithm

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A satellite selection algorithm for Achieving High Reliability of Ambiguity Resolution with GPS and Beidou Constellations

A Satellite Selection Algorithm for Achieving High Reliabili...

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4th China satellite Navigation Conference (CSNC)

作者： Wang, Jun Feng, Yanming Queensland Univ Technol Brisbane Qld Australia

ISBN: (纸本)9783642374074;9783642374067

Reliability of carrier phase ambiguity resolution (AR) of an integer leastsquares (ILS) problem depends on ambiguity success rate (ASR), which in practice can be well approximated by the success probability of integer bootstrapping solutions. With the current GPS constellation, sufficiently high ASR of geometry-based model can only be achievable at certain percentage of time. As a result, high reliability of AR cannot be assured by the single constellation. In the event of dual constellations system (DCS), for example, GPS and Beidou, which provide more satellites in view, users can expect significant performance benefits such as AR reliability and high precision positioning solutions. Simply using all the satellites in view for AR and positioning is a straightforward solution, but does not necessarily lead to high reliability as it is hoped. The paper presents an alternative approach that selects a subset of the visible satellites to achieve a higher reliability performance of the AR solutions in a multi-GNSS environment, instead of using all the satellites. Traditionally, satellite selection algorithms are mostly based on the position dilution of precision (PDOP) in order to meet accuracy requirements. In this contribution, some reliability criteria are introduced for GNSS satellite selection, and a novel satellite selection algorithm for reliable ambiguity resolution (SARA) is developed. The SARA algorithm allows receivers to select a subset of satellites for achieving high ASR such as above 0.99. Numerical results from a simulated dual constellation cases show that with the SARA procedure, the percentages of ASR values in excess of 0.99 and the percentages of ratio-test values passing the threshold 3 are both higher than those directly using all satellites in view, particularly in the case of dual-constellation, the percentages of ASRs (>0.99) and ratio-test values (>3) could be as high as 98.0 and 98.5 % respectively, compared to 18.1 and 25.0 % without satelli

关键词： satellite selection algorithm Ambiguity success rate Reliability Dual-GNSS signals Ambiguity resolution

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Research on Fast satellite selection algorithm Based on Geometry

Research on Fast Satellite Selection Algorithm Based on Geom...

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第四届中国卫星导航学术年会

作者： Pengfei Zhang Chengdong Xu Chunsheng Hu Ye Chen Key Laboratory of Dynamics and Control of Flight Vehicle Ministry of EducationSchool of Aerospace Engineering Beijing Institute of Technology School of Information and Communication Engineering North University of China

The positioning accuracy with Global Navigation satellite System (GNSS) depends on both the pseudorange error and the geometric dilution of precision (GDOP), and GDOP is depended on the geometry of user/satellites which are selected. Positioning with a GNSS needs at least four satellites which are visible for the user so that at least four pseudorange measurements can be provided to determine the user position in three dimensions and the receiver clock offset. In order to select as few as visible satellites whose geometry is better, a new fast satellite selection algorithm based on geometry is come up with by this paper through analyzing geometry characteristics of the optimal visible satellites combination. The expected visible satellites are selected based on the distribution characteristics of elevation angles and azimuth angles combined with tetrahedron volume. Taking GPS, GLONASS and GALILEO system for examples, this paper compares the algorithm proposed by this paper with the best geometry satellite selection algorithm through simulation. The simulation results show that the algorithm proposed by this paper solve the problem that there are a lot of matrix multiplications and matrix inversions in the best geometry satellite selection algorithm. So the new algorithm can reduce computational complexity and increase receiver processing speed. The theory of the algorithm is simple and easy to use. Meanwhile, the algorithm can satisfy the real time requirements for users.

关键词： GNSS GDOP geometry satellite selection algorithm

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A satellite selection algorithm for Achieving High Reliability of Ambiguity Resolution with GPS and Beidou Constellations

A Satellite Selection Algorithm for Achieving High Reliabili...

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第四届中国卫星导航学术年会

作者： Jun Wang Yanming Feng Queensland University of Technology Brisbane

Reliability of carrier phase ambiguity resolution (AR) of an integer least-squares (ILS) problem depends on ambiguity success rate (ASR), which in practice can be well approximated by the success probability of integer bootstrapping solutions. With the current GPS constellation, sufficiently high ASR of geometry-based model can only be achievable at certain percentage of time. As a result, high reliability of AR cannot be assured by the single constellation. In the event of dual constellations system (DCS), for example, GPS and Beidou, which provide more satellites in view, users can expect significant performance benefits such as AR reliability and high precision positioning solutions. Simply using all the satellites in view for AR and positioning is a straightforward solution, but does not necessarily lead to high reliability as it is hoped. The paper presents an alternative approach that selects a subset of the visible satellites to achieve a higher reliability performance of the AR solutions in a multi-GNSS environment, instead of using all the satellites. Traditionally, satellite selection algorithms are mostly based on the position dilution of precision (PDOP) in order to meet accuracy requirements. In this contribution, some reliability criteria are introduced for GNSS satellite selection, and a novel satellite selection algorithm for reliable ambiguity resolution (SARA) is developed. The SARA algorithm allows receivers to select a subset of satellites for achieving high ASR such as above 0.99. Numerical results from a simulated dual constellation cases show that with the SARA procedure, the percentages of ASR values in excess of 0.99 and the percentages of ratio-test values passing the threshold 3 are both higher than those directly using all satellites in view, particularly in the case of dual-constellation, the percentages of ASRs (>0.99) and ratio-test values (>3) could be as high as 98.0% and 98.5% respectively, compared to 18.1% and 25.0% without satell

关键词： satellite selection algorithm Ambiguity success rate Reliability Dual-GNSS signals Ambiguity resolution

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A satellite selection algorithm Based on PSO for a Integrated Navigation Receiver

A Satellite Selection Algorithm Based on PSO for a Integrate...

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第十一届中国卫星导航年会

作者： Ershen Wang Caimiao Sun Qizhi Fang Xuan Li Pingping Qu Yuxia Bie Tao Pang School of Electronic and Information Engineering Shenyang Aerospace University Liaoning General Aviation Key Laboratory Shenyang Aerospace University

Multi-constellation integrated navigation receiver will increase the number of visible satellites and improve positioning accuracy of the receiver. If all-in-view satellites are used for receiver posi

关键词： Integrated Navigation Receiver satellite selection algorithm Particle Swarm Optimization Optimal satellite Subset

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GDOP-Based Low-Complexity LEO satellite Subset selection for Positioning

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IEEE SYSTEMS JOURNAL 2024年第2期18卷 989-996页

作者： Ko, Kyeongjun Kabir, M. Humayun Kim, Jungtai Shin, Wonjae Dong A Univ Dept Comp Engn Busan 49315 South Korea Islamic Univ Dept Elect & Elect Engn Kushtia 7003 Bangladesh Korea Railrd Res Inst Uiwang 16105 South Korea Korea Univ Sch Elect Engn Seoul 02841 South Korea

Low Earth orbit (LEO) satellites have recently received considerable attention because they can provide stronger signal power and better bandwidth availability than medium Earth orbit or geosynchronous orbit satellites. However, due to the limited processing capability of a receiver, it is difficult to utilize all the measurements of the available satellites in view when the number of satellites is large. With this motivation, selecting a subset of satellites that are in a good geometry relative to the receiver for precise positioning among a large number of available LEO constellations represents a challenging yet significant problem. Geometric dilution of precision (GDOP) is a metric that provides useful information about the relative geometry between satellites and a receiver. In this study, we put forth a novel GDOP-based satellite selection algorithm that uses efficient matrix decomposition and update rule. Simulation results show that the proposed algorithm achieves a GDOP performance close to the optimal exhaustive search-based schemes while greatly reducing the computational complexity. In particular, the computational complexity is verified in terms of flop counts as well as numerical evaluations.

关键词： Geometric dilution of precision (GDOP) low Earth orbit (LEO) low complexity satellite selection algorithm

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An Optimal satellite selection Schema in Feeder Link Mapping for High-Capacity Scenario

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IEICE TRANSACTIONS ON COMMUNICATIONS 2023年第11期E106B卷 1237-1243页

作者： Chen, Rui Wang, Wen-nai Wu, Wei Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Key Lab Broadband Wireless Commun & Sensor Netwo Nanjing 210003 Peoples R China Jiangsu Broadcasting Corp Nanjing Peoples R China

Non-Terrestrial-Network (NTN) can provide seamless and ubiquitous connectivity of massive devices. Thus, the feeder links between satellites and gateways need to provide essentially high data transmission rates. In this paper, we focus on a typical high-capacity scenario, i.e., LEO-IoT, to find an optimal satellite selection schema to maximize the capacity of feeder links. The proposed schema is able to obtain the optimal mapping among all the satellites and gateways. By comparing with maximum service time algorithm, the proposed schema can construct a more balanced and reasonable connection pattern to improve the efficiency of the gateways. Such an advantage will become more significant as the number of satellites increases.

关键词： satellite selection algorithm feeder link LEO-IoT NTN

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