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    Evaluation of ultra wideband indoor localization with trilateration and min-max techniques
    (2016-09-06)
    Monta, Suppachai
    ;
    Promwong, Sathaporn
    ;
    Kingsakda, Vongkeo
    UWB indoor localization has been extensively researched because of its various applications. It can be used in firefighters tracking, logistics and military service. This system requires high accuracy in an indoor environment. In this paper the comparison between trilateration and min-max localization techniques using received signal strength (RSS) and time of arrival (TOA) parameters. This study based on the indoor localization using ultra wideband (UWB) transmission model. The vector network analyzer (VNA) was used to measure at the frequency ranging from 3 GHz to 11 GHz. The biconical antennas were used as both transmitter (Tx) and receiver (Rx) antennas. The accuracy and precision are also studies in the term of distance error. The cumulative distribution function (CDF) of distance error of each case is shown. From the results, the trilateration technique using TOA parameter has the most accuracy.
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    Improvement of fingerprinting technique for UWB indoor localization
    (2014-01-01)
    Vinicchayakul, Wipassorn
    ;
    Promwong, Sathaporn
    The indoor localization is highly desired for elevation in the industrial, public safety and medical technology. Its significant requirement is a high accuracy in dense multipath fading environments. This paper improves the main problem of indoor localization by using fingerprinting technique based on ultra wideband (UWB) channel measurement. In addition, the neural network algorithm is used to find the location that has 3 dimensions, x plane, y plane and z plane. The first path loss, the delay times of the first part, the average path loss and the average of delay time were applied to create the ultra wideband radio propagation parameters for fingerprinting technique. the results are shown in terms of histogram of distance errors between update and non-update the databases and countour graph of each of distance errors on the coordinates. According to the results, the fingerprinting technique with update database can identify the location more correctly than the fingerprinting technique with non-update database. It had accuracy at 1 meter as 88.57%. while the fingerprinting technique with non-update database was affected from the environment and the accuracy at 1 meter was lower than the fingerprinting technique with update database all the times of experiment. © 2014 IEEE.