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

Kosuke Okusa, Toshinari Kamakura

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    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

    All Science Journal Classification (ASJC) codes

    • Applied Mathematics

    Fingerprint

    Dive into the research topics of 'A simulation study for performance validate of indoor location estimation based on the radial Weibull/extreme-value Weibull distribution'. Together they form a unique fingerprint.

    Cite this