• Title/Summary/Keyword: RRAIM

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Integrity Monitoring for Drone Landing in Urban Area using Single Frequency Based RRAIM

  • Jeong, Hojoon;Kim, Bu-Gyeom;Kee, Changdon
    • Journal of Positioning, Navigation, and Timing
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    • v.11 no.4
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    • pp.317-325
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    • 2022
  • In this paper, we developed a single frequency-based RRAIM to monitor integrity of the UAM landing vertically in urban area with only low-cost single-frequency GPS receiver. Conventional dual-frequency RRAIM eliminates ionospheric delay through a combination of frequencies. In this study, ionospheric delay was directly modeled. Drift error of residual ionospheric delay is modeled using the previously studied result on ionospheric rates of change. To verify the performance of the proposed RRAIM algorithm, a simulation of vertical landing UAM in urban area was conducted. It was assumed that the protection level at the initial position was calculated through SBAS correction data. During vertical landing, integrity monitored by receiver alone without external correction data. In the 60 sec simulation, the protection level of the proposed RRAIM compared to the conventional RRAIM was calculated to be 140% due to the accumulated ionospheric delay error. Nevertheless, it was confirmed that the final vertical protection level meeting the requirements of LPV-200, which cannot be achieved with single frequency GPS receiver alone.

Multiple-Hypothesis RAIM Algorithm with an RRAIM Concept (RRAIM 기법을 활용한 다중 가설 사용자 무결성 감시 알고리듬)

  • Yun, Ho;Kee, Changdon
    • Journal of Advanced Navigation Technology
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    • v.16 no.4
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    • pp.593-601
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    • 2012
  • This paper develops and analyzes a new multiple-hypothesis Receiver Autonomous Integrity Monitoring (RAIM) algorithm as a candidate for future standard architecture. The proposed algorithm can handle simultaneous multiple failures as well as a single failure. It uses measurement residuals and satellite observation matrices of several consecutive epochs for Failure Detection and Exclusion (FDE). The proposed algorithm redueces the Minimum Detectable Bias (MDB) via the Relative RAIM (RRAIM) scheme. Simulation results show that the proposed algorithm can detect and filter out multiple failures in tens of meters.