Azimuth Estimation Performance Improvement of MEMS Based INS/GPS Integrated Navigation System using Particle Filter
Sebum Chun, Moon Beom Heo
Kalman filter is generally used in INS/GPS integrated navigation system. However, the INS with low cost inertia sensor can not find accurate azimuth in initial alignment stage because sensor noise level is too large compare to Earth rotation rate. In this paper, the extended Kalman filter and particle filter combined filter structure which can be overcome large initial azimuth error is proposed.
Keywords: INS, GPS, locally linearization particle filter
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