Accuracy Analysis of Indoor Positioning Using Min-Max Method

In this paper, the accuracy analysis of indoor positioning using min-max method is proposed. The distance error model is applied to estimate the distance between the transmitter and user's position with different path loss exponent and fading amount of indoor channel. The total <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 0 0}$</tex> coordinates of user's positions are estimated using min-max method. The distance error at each position, probability density function (PDF) and cumulative distribution function (CDF) of distance errors are illustrated. The mean of analysis distance error corresponds with the mean of measurement distance error with same path loss exponent and fading amount of indoor channel. The results show that it is possible to use this accuracy analysis to estimate the distance error in an indoor environment.

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Published
2025-05-06
DOI
https://doi.org/10.1109/iceast64767.2025.11088204
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
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article

Accuracy Analysis of Indoor Positioning Using Min-Max Method

Sirinya Tabsombat, Wipassorn Vinicchayakul, Pichaya Supanakoon, Thanadol Tiengthong et al.
Indoor and Outdoor Localization Technologies
article

Accuracy Analysis of Indoor Positioning Using Min-Max Method

Sirinya Tabsombat, Wipassorn Vinicchayakul, Pichaya Supanakoon, Thanadol Tiengthong, Monchai Chamchoy, Sathaporn Promwong
article en

Abstract

In this paper, the accuracy analysis of indoor positioning using min-max method is proposed. The distance error model is applied to estimate the distance between the transmitter and user's position with different path loss exponent and fading amount of indoor channel. The total <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 0 0}$</tex> coordinates of user's positions are estimated using min-max method. The distance error at each position, probability density function (PDF) and cumulative distribution function (CDF) of distance errors are illustrated. The mean of analysis distance error corresponds with the mean of measurement distance error with same path loss exponent and fading amount of indoor channel. The results show that it is possible to use this accuracy analysis to estimate the distance error in an indoor environment.

Aeronautical Development Establishment (IN), King Mongkut's Institute of Technology Ladkrabang (TH)
Openalex Percentile: Top 83%
Indoor and Outdoor Localization Technologies
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