Indoor positioning method based on improved square root unscented Kalman filtering
An unscented Kalman and indoor positioning technology, applied in navigation computing tools and other directions, can solve problems such as UWB signal refraction or reflection, non-line-of-sight error, etc., to solve the convergence value mismatch, suppress filter divergence, and improve positioning accuracy Effect
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[0142] Figure 4 The simulation results show that it can be seen that due to the existence of the cumulative error problem in pedestrian dead reckoning, as time goes by, the trajectory will fluctuate greatly; within the first 30s, the UWB positioning trajectory and the planned route are basically consistent , due to the existence of the non-line-of-sight error problem caused by the simulated UWB signal being blocked, the UWB signal drifts between 30s and 42.5s, which leads to large fluctuations in the positioning trajectory; SR-UKF and improved SR -UKF can integrate the position information of pedestrian dead reckoning and UWB positioning, and effectively improve the positioning accuracy.
[0143] combine Figure 5 It can be seen that the improved SR-UKF algorithm is superior to SR-UKF in both positioning accuracy and trajectory smoothness. Using SR-UKF compared with pure UWB positioning, the position error is reduced by about 68.8%, and using improved SR-UKF compared with p...
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