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

Kosuke Okusa, Toshinari Kamakura

研究成果: Contribution to journalArticle査読

1 被引用数 (Scopus)

抄録

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.

本文言語英語
ページ(範囲)111-117
ページ数7
ジャーナルIAENG International Journal of Applied Mathematics
48
2
出版ステータス出版済み - 5 28 2018

All Science Journal Classification (ASJC) codes

  • Applied Mathematics

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