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논문 기본 정보

자료유형
학술저널
저자정보
김성익 (Department of Aerospace Engineering and Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea) 이예빈 (Department of Aerospace Engineering and Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea) 조용래 (Department of Aerospace Engineering and Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea) 차윤호 (Department of Aerospace Engineering and Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea) 박병운 (Department of Aerospace Engineering and Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea) 박슬기 (Maritime PNT Research Office, Daejeon 34103, Korea) 박상현 (Maritime PNT Research Office, Daejeon 34103, Korea)
저널정보
사단법인 항법시스템학회 Journal of Positioning, Navigation, and Timing Journal of Positioning, Navigation, and Timing Vol.13 No.3
발행연도
2024.9
수록면
221 - 235 (15page)
DOI
10.11003/JPNT.2024.13.3.221

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초록· 키워드

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Errors included in Global Navigation Satellite System (GNSS) measurements degrade the performance of user position estimation but can be mitigated by spatial correlation properties. Augmentation systems providing correction data can be broadly categorized into State Space Representation (SSR) and Observation Space Representation (OSR) methods. The satellite-based cm-level augmentation service based on the SSR broadcasts correction data via satellite signals, unlike the traditional Real-Time Kinematic (RTK) and Network RTK methods, which use OSR. To provide a large amount of correction data via the limited bandwidth of the satellite communication, efficient message structure design considering service area, correction generation, and broadcast intervals is necessary. For systematic message design, it is necessary to analyze the influence of error components included in GNSS measurements. In this study, errors in satellite orbits, satellite clocks for GPS, Galileo, BeiDou, and QZSS satellite constellations ionospheric and tropospheric delays over one year were analyzed, and their spatial decorrelations and linear modeling characteristics were examined.

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