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

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    Evaluation of Weighted Impulse Radio for Ultra-Wideband Localization
    (2020-12-01)
    Promwong, Sathaporn
    ;
    Thongkam, Jutamas
    This research paper presents indoor localization using weighted localization algorithm (WLA) with impulse radio for ultra-windband. The ultra-wide band is wireless technology short range system, especially in, an indoor localization. In this paper, the proposed process consists of two parts: Firstly, a data collected by measurement environment in a Line-of-Sight using impulse radio and secondly extension weighted localization algorithm with wireless ultra-wideband (WUWB) for localization short-range system in an indoor environment. Its can be improve the distance error. The results are evaluated by the cumulative distribution function to check a probability of distance error. The results provided good improvement which increase the wireless indoor localization precision less than 1 m. The proposed WLA for WUWB localization can be used in various applications for the wireless indoor environment.
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    5.8 GHz wireless localization based weighted algorithm for home network applications
    (2020-07-01)
    Mankong, Thanadon
    ;
    Maw, Myo Myint
    ;
    Promwong, Sathaporn
    New wireless network solution, the distributed network nodes short range area are unknown. This paper, consider the accuracy with weighted algorithm (WA) based on wireless network received signal strength is evaluated for localization. The wireless transmission model using wireless ISM band with four reference nodes and one target node operated at frequency of 5.8 GHz. Distance error is used to evaluate the precision of location approximation with respected to the CDF. The received signal strength in measurement field is presented in this paper. The contributes of this paper is useful for a study in an indoor positioning with 5.8 GHz for future home network applications.
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    Study of UWB indoor localization using fingerprinting technique with different number of antennas
    (2017-02-21)
    Vinicchayakul, Wipassorn
    ;
    Promwong, Sathaporn
    ;
    Supanakoon, Pichaya
    Wireless sensor networks (WSNs) have been applied in various applications. Each application is developed in order to increase security, increase convenience to life and property. In this work, we have analyzed the application of WSNs to locate with fingerprinting technique on the standard of IEEE802.15.4a (Ultra wideband (UWB)) in terms of the number of antennas required when using line of sight (LOS) environment. The experiment was done by using a vector network analyzer (VNA) with biconical antennas. The frequency transfer function of the channel was measured at various locations. As a result, the use of delay time parameter of the UWB standard gave the best result. It was able to use only one antenna pair to identify areas accurately. Moreover, it saved time for doing the database, reduced size of the database and reduced some cost because the number of antennas was decreased.
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    Comparison of UWB fingerprinting with vertical and horizontal polarizations for indoor localization
    (2010-07-30)
    Sangthong, Jirapat
    ;
    Promwong, Sathaporn
    ;
    Supanakoon, Pichaya
    The indoor localization system has been extensively researched because of its various applications. This system requires high accuracy in indoor environments which absence line of sight and dense multipath. Ultra wideband (UWB) fingerprinting is developed for this purpose. This paper discuss about indoor localization using a fingerprinting concept based on UWB signal and compares between vertical and horizontal polarization cases. All of the measurements used biconical antennas as both transmitter (Tx) and receiver (Rx) antennas. The channel frequency transfer functions of corridor environment were measured at frequencies ranging from 3 GHz to 11 GHz. The path loss and delay time of first three-path is investigated to perform the fingerprints and signatures. The accuracy of estimated distances is shown in terms of cumulative distribution function (CDF). From the results, horizontal polarization provides greater accuracy than vertical polarization.