Abstract
This document provides a survey of the mathematical methods currently used for position estimation in indoor local positioning systems (LPS), particularly those based on radiofrequency signals. The techniques are grouped into four categories: geometry-based methods, minimization of the cost function, fingerprinting, and Bayesian techniques. Comments on the applicability, requirements, and immunity to nonline-of-sight (NLOS) propagation of the signals of each method are provided. ©2009 IEEE.
Cite
CITATION STYLE
Seco, F., Jiménez, A. R., Prieto, C., Roa, J., & Koutsou, K. (2009). A survey of mathematical methods for indoor localization. In WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings (pp. 9–14). https://doi.org/10.1109/WISP.2009.5286582
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