• Title/Summary/Keyword: Locally Linearization Particle Filter

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Performance Improvement of Azimuth Estimation in Low Cost MEMS IMU based INS/GPS Integrated Navigation System (저가형 MEMS 관성측정장치 기반 INS/GPS 통합 항법 장치에서 방위각 추정 성능 향상)

  • Chun, Se-Bum;Heo, Moon-Beom
    • Journal of Advanced Navigation Technology
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    • v.16 no.5
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    • pp.738-743
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    • 2012
  • Kalman filter is generally used in INS/GPS integrated navigation filter. However, the INS with low performance inertia sensor can not find accurate azimuth in initial alignment stage because sensor noise level is too large compare to Earth rotation rate, therefore the performance and stability of Kalman filter can not be guaranteed. In this paper, the extended Kalman filter and particle filter combined filter structure which can be overcome large initial azimuth error is proposed.