New optimal smoothing scheme for improving relative and absolute accuracy of tightly coupled GNSS/SINS integration |
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| Authors: | Xiaohong Zhang Feng Zhu Xianlu Tao Rui Duan |
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| Institution: | 1.School of Geodesy and Geomatics,Wuhan University,Wuhan,China;2.Collaborative Innovation Center for Geospatial Technology,Wuhan,China;3.Key Laboratory of Geospace Environment and Geodesy, Ministry of Education,Wuhan University,Wuhan,China |
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| Abstract: | For mobile surveying and mapping applications, tightly coupled integration of global navigation satellite system (GNSS) and Strap down Inertial Navigation System is usually recommended for direct georeferencing since it can provide position, velocity, and attitude information at higher accuracy and better reliability in a self-contained manner. A post-mission smoothing method is applied to optimally use observation information of both systems and to overcome the shortcomings of Kalman filter in GNSS degraded environments. We propose the revised Rauch–Tung–Streibel Smoother (RTSS) and Forward–Backward combination (FBC) smoothing algorithms for tightly coupled integration. From the analysis and field test, it is found that RTSS smoothing mainly improves the relative accuracy, while FBC mainly contributes to the absolute accuracy. With the complementary characteristics of both smoothing algorithms, an optimal new smoothing scheme combining RTSS with FBC is built. The performance of these three smoothing algorithms is evaluated through a real vehicular test. Compared with RTSS and FBC smoothing algorithms, the new smoothing scheme improves the mean 3D position RMS and the mean 3D attitude RMS by 65.7 and 70%, respectively. It provides better accuracy and smoothness for the position, velocity, and attitude at the same time. |
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