A simulation study for performance validate of indoor location estimation based on the radial Weibull/extreme-value Weibull distribution

Kosuke Okusa, Toshinari Kamakura

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Abstract

We investigate the possibility of analyzing indoor location estimation under the NLoS environment by radial distribution model. In this study, we assume that the observed distance between the transmitter and receiver is a statistical radial distribution. The proposed method is based on the marginal likelihoods of radial distribution generated by positive distribution among several transmitter radio sites placed in a room. In this paper, we consider the two radial distribution model - radial Weibull distribution [9] and radial extreme value Weibull distribution [18]. To demonstrate the effectiveness of the two methods, we carried out a simulation study to assess the accuracy of the location estimation. Results indicate that high accuracy was achieved when the radial extreme value Weibull distribution based method was implemented for indoor spatial location estimation.

Original languageEnglish
Pages (from-to)111-117
Number of pages7
JournalIAENG International Journal of Applied Mathematics
Volume48
Issue number2
Publication statusPublished - May 28 2018

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All Science Journal Classification (ASJC) codes

  • Applied Mathematics

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