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Author: search.filters.author.Promwong, SathapornSubject: search.filters.subject.Indoor positioning

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    Evaluation of distance error with bluetooth low energy transmission model for indoor positioning
    (2021-06-02)
    Supanakoon, Pichaya
    ;
    Promwong, Sathaporn
    Currently, an indoor positioning is a challenge application for location-based services (LBS) and proximity-based services (PBS). However, the indoor channel has dense multipath fading, causing more distance error than outdoor positioning. In this paper, the distance error analysis model is proposed for indoor positioning. The indoor channel is modeled as the sum of path loss model and multipath fading model. The path loss model is a linear regression model (LRM) based on Friis' transmission formula, used for estimating the distance from received signal strength (RSS). The multipath fading is a Gaussian statistical model with zero mean, used for characterizing the multipath fading effect. The normalized distance error is evaluated and defined. The indoor channel with Bluetooth low energy (BLE) beacons is measured and compared with the proposed model. From the results, the normalized distance error obtained from the proposed model corresponds very well to measurement. This proposed model can be used as a tool for designing an indoor positioning system to obtain the specific distance error.
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    Indoor localization distance error analysis with UWB wireless propagation model using positioning method
    (2018-06-08)
    Chaisang, Aditep
    ;
    Promwong, Sathaporn
    The positioning system model in an indoor environment has been very importance in applications technology. The recent localization applications technology place important on the positioning system model for an indoor environment. The study shall be focus on the error due to the distance. However, to evaluate the distance error we consider used the UWBW propagation channel for indoor position because its different wireless technologies. In an indoor environment, this system requires the accuracy as high as possible. In this research study, the comparing of the positioning with received signal strength indication and time of arrival (TOA) positioning methods are presented. This study based on the purposed propagation model for ultra-wideband wireless (UWBW) is used to investigate the localization for indoor environment. To measure at the operate frequency from 3 GHz to 11 GHz, the vector network analyzer was used. The broadband antennas were used as both transmitter antenna (Tx) and receiver antenna (Rx). The distance error in this study is represent the precision and accuracy. The distance error with cumulative distribution function (CDF) of each are shown. From the result the positioning method for the indoor environment, the TOA method has more accuracy than the RSSI method.
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    Mobile navigation system using fuzzy C-Mean clustering and subtractive clustering based on fingerprinting technique
    (2015-10-01)
    Sangthong, Jirapat
    ;
    Promwong, Sathaporn
    In recent year, the mobile navigation system has been a topic of great interest among researchers because of its various mobile applications. This work, we discuss about mobile navigation system based on fingerprinting technique. The experimental test bed is covered area is 216 square meters in and indoor environment. The RSS information in training process will be investigated. Then, the RSS information will be group by using FCM and SC. For real-time process, the RSS reading will be using to estimate the position. Finally, the accuracy of estimated distances is shown and compared among use of FCM and SC.