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A survey of mathematical methods for indoor localization

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2009 IEEE International Symposium on Intelligent Signal Processing, стр. 9-14. (августа 2009)
DOI: 10.1109/WISP.2009.5286582

Аннотация

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.

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