• Title/Summary/Keyword: 광역보정위성항법체계

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Analysis on the Initialization Time of Each Mode using OmniSTAR HP (OmniSTAR HP의 측위모드별 수렴시간 분석)

  • Lee, In-Su;Park, Byung-Woon;Song, June-Sol
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.3
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    • pp.75-82
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    • 2011
  • In this study, author analyzed the overview and the convergence time of Fixed solutions (<15cm) of OmniSTAR, one of SBAS(Satellite Based Augmentation System) as WADGPS (Wide Area Differential GPS), which can compensate the drawbacks of the existed GNSS (Global Navigation Satellite System) that require the expensive receiver and is impossible to position in case of the radio interference in urban sometimes. As a result, the test shows that the less than 15cm 3D standard deviation converges in 39 minutes at Dynamic mode and 28 minutes at Static mode. It is expected that we can apply OmniSTAR to a variety of fields such as LBS(Location Based Service), mobile positioning, and the geo-spatial information industry that does not necessarily guarantee the high position accuracy.

Analysis of Horizontal Positioning for WADGPS using MTSAT (MTSAT를 이용한 WADGPS의 수평위치 해석)

  • Yeu, Hoon;Kim, Jeok-Kyo;Lim, Soo-Bong;Lee, Yong-Wook
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.3 s.37
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    • pp.71-77
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    • 2006
  • MSAS satellite is the geostationary satellite for realizing WADGPS that can get the position of moving object in a wide area receiving the correction signal created from a ground using satellite. In this study, we analyzed two different data. One is using the correction signal transmitted from MTSAT-2 satellite of MSAS and the other is receiving the data of DGPS using BEACON receiver. As we compared both data, we could get the conclusion that the position accuracy of both data is also can get up to the standard or the conventional real-time code DGPS. As a result, we can expect that if we use MTSAT-2 satellite and BEACON receiver together, we can apply them LBS part that require real-time data or the obtaining geospatial information that does not require high accuracy much regardless of topography.

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