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Author: search.filters.author.Vinicchayakul, WipassornSubject: search.filters.subject.fingerprinting technique

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    Performance comparison between UWB and NB propagation models for an indoor localization
    (2015-04-22)
    Vinicchayakul, Wipassorn
    ;
    Promwong, Sathaporn
    Nowadays, an indoor localization has been widely employed in some applications such as finding itself in a department store. Nevertheless, general indoor localization has the moderate effectiveness which some applications require high accuracy to use in emergency situations. Thus, the indoor localization has been improved in many ways. Normally, most methods are acceptable to use in finding a location within the building such as WLAN with the fingerprinting technique. Therefore, the fingerprinting technique was used in this paper. Then, narrowband (NB) and ultra wideband (UWB) signals were compared in order to show about the efficiency in the indoor localization. The channel model was used from VNA at the frequency range 3 GHz to 11 GHz. As the result, the best result of UWB localization modeling has yield as 90.84% at 1 meter accuracy value in 3 rooms whereas the best result of WLAN localization modeling has yield as 36.64% at 3 meters accuracy value in 3 rooms. Then, UWB signal is more suitable than NB signal.
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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.