Abstract
There is a lot of possibility to improve service quality by extending the notion of a positioning system. Basic positioning systems assign locations to measurements. Advanced systems can use time-series information for refinement including Weighted Least Squares, Recursive Least Squares, Kalman filtering, and particle filtering. The main results and algorithms get a closed explanation in this chapter.
But since all our measurements and observations are nothing more than approximation to the truth, the same must be true of all calculations resting upon them, and the highest aim of all computations made concerning concrete phenomena must be to approximate, as nearly as practicable, to the truth.
Karl Friedrich Gauss
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Werner, M. (2014). Position Refinement. In: Indoor Location-Based Services. Springer, Cham. https://doi.org/10.1007/978-3-319-10699-1_5
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DOI: https://doi.org/10.1007/978-3-319-10699-1_5
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