A survey of mathematical methods for indoor localization

Author

Seco, Fernando ; Jiménez, Antonio R. ; Prieto, Carlos ; Roa, Javier ; Koutsou, Katerina

Author_Institution

Inst. de Autom. Ind., Consejo Super. de Investig. Cientificas (CSIC), Arganda del Rey, Spain

fYear

2009

fDate

26-28 Aug. 2009

Firstpage

9

Lastpage

14

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.

Keywords

Bayes methods; geometry; minimisation; signal processing; Bayesian technique; cost function minimization; fingerprinting; geometry based method; indoor local positioning systems; indoor localization; mathematical method; nonline-of-sight propagation; position estimation; radiofrequency signals; signal propagation; Base stations; Bit error rate; Cost function; Density measurement; Fingerprint recognition; Minimization methods; Position measurement; Radio frequency; Signal processing; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing, 2009. WISP 2009. IEEE International Symposium on

Conference_Location

Budapest

Print_ISBN

978-1-4244-5057-2

Electronic_ISBN

978-1-4244-5059-6

Type

conf

DOI

10.1109/WISP.2009.5286582

Filename

5286582