• Title/Summary/Keyword: Positioning system

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Analysis of the Combined Positioning Accuracy using GPS and GLONASS Navigation Satellites

  • Choi, Byung-Kyu;Roh, Kyoung-Min;Lee, Sang Jeong
    • Journal of Positioning, Navigation, and Timing
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    • v.2 no.2
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    • pp.131-137
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    • 2013
  • In this study, positioning results that combined the code observation information of GPS and GLONASS navigation satellites were analyzed. Especially, the distribution of GLONASS satellites observed in Korea and the combined GPS/GLONASS positioning results were presented. The GNSS data received at two reference stations (GRAS in Europe and KOHG in Goheung, Korea) during a day were processed, and the mean value and root mean square (RMS) value of the position error were calculated. The analysis results indicated that the combined GPS/GLONASS positioning did not show significantly improved performance compared to the GPS-only positioning. This could be due to the inter-system hardware bias for GPS/GLONASS receivers, the selection of transformation parameters between reference coordinate systems, the selection of a confidence level for error analysis, or the number of visible satellites at a specific time.

Modeling & Simulation Software Design for Coverage Analysis of Multiple Radio Positioning Integration System

  • Koo, Moonsuk;Kim, YoungJoon;So, Hyoungmin;Oh, Sang Heon;Kim, Seong-Cheol;Hwang, Dong-Hwan
    • Journal of Positioning, Navigation, and Timing
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    • v.5 no.2
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    • pp.47-57
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    • 2016
  • Since the Global Navigation Satellite System (GNSS) may not provide navigation information due to external interferences, many countries have plans to prepare a backup system for this situation. One of the possible GNSS backup systems is a multiple radio positioning integration system in combination with the terrestrial radio navigation system. Before constructing such a GNSS backup system, M&S software is needed to analyze if the system satisfies the performance the required navigation performance. This study presents requirements of M&S software for coverage analysis of the navigation system, and proposes an M&S software design scheme on the basis of the requirements. The M&S software is implemented, and coverage analysis is performed to verify the validity of the proposed design scheme.

Analysis on Application of Flywheel Energy Storage System for offshore plants with Dynamic Positioning System

  • Jeong, Hyun-Woo;Kim, Yoon-Sik;Kim, Chul-Ho;Choi, Sung-Hwan;Yoon, Kyoung-Kuk
    • Journal of Advanced Marine Engineering and Technology
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    • v.36 no.7
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    • pp.935-941
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    • 2012
  • This paper describes a study of conventional electrical rig and simulated application of Flywheel Energy Storage system on the power system of the offshore plants with dynamic positioning system with the following aims: improve fuel consumption on engines, prevent blackout and mitigate voltage sags due to pulsed load and fault. Fuel consumption has been analyzed for the generators of the typical drilling rigs compared with the power plant with Flywheel Storage Unit which has an important aid in avoiding power interruption during DP (Dynamic Positioning) operation. The FES (Fly wheel Energy storage System) releases energy very quickly and efficiently to ensure continuity of the power supply to essential consumers such as auxiliary machinery and thrusters upon main power failure. It will run until the standby diesel generator can start and supply the electric power to the facilities to keep the vessel in correct position under DP operation. The proposed backup method to utilize the quick and large energy storage Flywheel system can be optimized in any power system design on offshore plant.

Evaluation of Navigation System Performance of GPS/GLONASS/Galileo/BeiDou/QZSS System using High Performance GNSS Receiver

  • Park, Yong-Hui;Jeong, Jin-Ho;Park, Jin-Mo;Park, Sung-Hyun
    • Journal of Positioning, Navigation, and Timing
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    • v.11 no.4
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    • pp.333-339
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    • 2022
  • The satellite navigation system was developed for the purpose of calculating the location of local users, starting with the Global Positioning System (GPS) in the 1980s. Advanced countries in the space industry are operating Global Navigation Satellite System (GNSS) that covers the entire earth, such as GPS, GLONASS, Galileo, and BeiDou, by establishing satellite navigation systems for each country. Regional Navigation Satellite Systems (RNSS) such as QZSS and NavIC are also in operation. In the early 2010s, only GPS and GLONASS could calculate location using a single system for location determination. After 2016, the EU and China also completed the establishment of GNSS such as Galileo and BeiDou. As a result, satellite navigation users can benefit from improved availability of GNSS. In addition, before Galileo and BeiDou's Full Operational Capability (FOC) declaration, they used combined navigation algorithms to calculate the user's location by adding another satellite navigation system to the GPS satellites. Recently, it may be possible to calculate a user's location for each navigation system using the resources of a single system. In this paper, we evaluated the performance of single system navigation and combined navigation solutions of GPS, GLONASS, Galileo, BeiDou and QZSS individual navigation systems using high-performance GNSS receivers.

Development of End-to-end Numerical Simulator for Next Generation GNSS Signal Design

  • Shin, Heon;Han, Kahee;Won, Jong-Hoon
    • Journal of Positioning, Navigation, and Timing
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    • v.8 no.4
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    • pp.153-164
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    • 2019
  • This paper presents the development of an end-to-end numerical simulator for signal design of the next generation global navigation satellite system (GNSS). The GNSS services are an essential element of modern human life, becoming a core part of national infra-structure. Several countries are developing or modernizing their own positioning and timing system as their demand, and South Korea is also planning to develop a Korean Positioning System (KPS) based on its own technology, with the aim of operation in 2034. The developed simulator consists of three main units such as a signal generator, a channel unit, and a receiver. The signal generator is constructed based on the actual navigation satellite payload model. For channels, a simple Gaussian channel and land mobile satellite (LMS) multipath channel environments are implemented. A software receiver approach based on a commercial GNSS receiver model is employed. Through the simulator proposed in this paper, it is possible to simulate the entire transceiver chain process from signal generation to receiver processing including channel effect. Finally, numerical simulation results for a simple example scenario is analyzed. The use of the numerical signal simulator in this paper will be ideally suited to design a new navigation signal for the upcoming KPS by reducing the research and development efforts, tremendously.

Precise Static Positioning with Dual-Frequency P-code/Phase Receivers in Global Positioning System (GPS위성의 P코드/위상측정용 2주파수 수신기에 의한 정밀측위)

  • Lee, Young Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.13 no.2
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    • pp.219-228
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    • 1993
  • The development of the Global Positioning System was one of the most significant technical advancements in the surveying fields during the 1980's. In recent years, the use of GPS techniques are increased because of the improvements of receiver design and the data analysis, and the greater accuracy. In this paper, the static positioning with special linear combinations of data is reviewed and some experiences of dual-frequency P-code/phase receivers are discussed. The test results of Wild GPS System-200 show that the highest accuracies of 1ppm are obtainable on baselines of 7km/37km and the positional accuracies of 10m, which is applicable to determination of initial coordinates, are also possible on point-positioning of P-code measurements.

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A Neural Network Aided Kalman Filtering Approach for SINS/RDSS Integrated Navigation

  • Xiao-Feng, He;Xiao-Ping, Hu;Liang-Qing, Lu;Kang-Hua, Tang
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.491-494
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    • 2006
  • Kalman filtering (KF) is hard to be applied to the SINS (Strap-down Inertial Navigation System)/RDSS (Radio Determination Satellite Service) integrated navigation system directly because the time delay of RDSS positioning in active mode is random. BP (Back-Propagation) Neuron computing as a powerful technology of Artificial Neural Network (ANN), is appropriate to solve nonlinear problems such as the random time delay of RDSS without prior knowledge about the mathematical process involved. The new algorithm betakes a BP neural network (BPNN) and velocity feedback to aid KF in order to overcome the time delay of RDSS positioning. Once the BP neural network was trained and converged, the new approach will work well for SINS/RDSS integrated navigation. Dynamic vehicle experiments were performed to evaluate the performance of the system. The experiment results demonstrate that the horizontal positioning accuracy of the new approach is 40.62 m (1 ${\sigma}$), which is better than velocity-feedback-based KF. The experimental results also show that the horizontal positioning error of the navigation system is almost linear to the positioning interval of RDSS within 5 minutes. The approach and its anti-jamming analysis will be helpful to the applications of SINS/RDSS integrated systems.

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