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- W4220980356 abstract "The development of positioning algorithms for indoor navigation systems does not lose its relevance due to the constant improvement and widespread distribution of such systems. This article discusses the positioning algorithm for a complex system based on ultra-wideband signals and inertial sensors of a smartphone. The algorithm is an extended Kalman filter for estimating the coordinates and yaw angle of the consumer. In this study, analytical estimates of the limiting filtering errors of the state vector are presented in comparison with estimates obtained from the dispersion matrices of filtering errors. A comparison of these estimates allows us to conclude that the algorithm is suitable for real navigation conditions." @default.
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- W4220980356 date "2022-03-17" @default.
- W4220980356 modified "2023-09-30" @default.
- W4220980356 title "Analytical estimation of Kalman filter errors for indoor positioning systems" @default.
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- W4220980356 doi "https://doi.org/10.1109/reepe53907.2022.9731501" @default.
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