Chamchoy, Monchai

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Chamchoy, Monchai
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monchai.ch@kmitl.ac.th

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    Item type:Publication,
    Study on Accuracy of Min-Max Method Using Distance Error Model for Indoor Positioning
    (2022-01-01)
    Supanakoon, Pichaya
    ;
    Vinicchayakul, Wipassorn
    ;
    Imsap, Nattapat
    ;
    Pakanon, Noppapadon
    ;
    Chamchoy, Monchai
    Nowadays, the indoor positioning becomes a hot topic. The accuracy is necessary to be study in order to design the positioning system. In this paper, the accuracy of min-max method is studied using distance error model for indoor positioning. The estimated distance is evaluated from distance error model by using the received signal strength (RSS) with indoor channel consists of path loos and multipath fading models. After that, the estimated distance is used with min-max method to estimate the position of receiver and calculate the distance error. The distance error of each position is illustrated. The distance error with specific path loss exponent and standard deviation of multipath fading effect is shown and studied in the terms of probability density function (PDF) and cumulative distribution function (CDF). The results show that the distance error is low at position near transmitter, slightly increased as the path loss exponent decreases and significantly increased as the deviation of multipath fading effect increases.
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    Item type:Publication,
    Study on accuracy of trilateration method for indoor positioning with BLE beacons
    (2020-07-01)
    Pakanon, Noppapadon
    ;
    Chamchoy, Monchai
    ;
    Supanakoon, Pichaya
    Nowadays, indoor positioning services of mobile phone with Bluetooth low energy (BLE) beacons are increasingly used. However, due to the indoor environment has dense multipath fading, the positioning system has low accuracy. In this paper, the accuracy study of trilateration method for indoor positioning with BLE beacons is presented. The indoor environment room with 9.0 m width, 10.2 m length and 3 BLE beacons is studied. The received signal strength (RSS) of each BLE beacon is measured by using mobile phone. The distance between each BLE beacon and mobile phone is evaluated using channel model. After that, the trilateration method is used to approximate the position of mobile phone. The accuracies, which are obtained from one, average five and average ten measurements, are studied. The distance errors of all positions and the cumulative distribution function (CDF) of the distance error are calculated and shown. The results show that the average multiple measurements tend to decrease the distance error.