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Improved Height Estimation Using Extended Kalman Filter on UWB-Barometer 3D Indoor Positioning System
2021
Wireless Communications and Mobile Computing
Indoor 3D positioning system requires precise information from all three dimensions in space, but measurements in the vertical direction are usually interfered by sensors properties, unexpected obstructions, and other factors. Thus, accuracy and robustness are not guaranteed. Aiming at this problem, we propose a novel sensor fusion algorithm to improve the height estimation for a UWB-barometer integrated positioning system by introducing a pseudo reference update mechanism and the extended
doi:10.1155/2021/7057513
fatcat:kth2z6hkh5cyxfzlb426tvvmcq