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Author: search.filters.author.Keawbunsong, PitakSubject: search.filters.subject.DTTV propagation

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    Optimum path loss model calibration for prediction DTTV propagation in urban area of southern Thailand
    (2015-12-01)
    Keawbunsong, Pitak
    ;
    Promwong, Sathaporn
    This article offers an optimum path loss model calibration for the prediction of DTTV propagation in an urban area of southern Thailand by selecting the urban area of Hat Yai, Songkla Province where there is density of high rises and buildings as a data collecting place. The data are collected from the measurement of the network operators’ transmitted signal levels among four channels: CH26 with the frequency of 514 MHz; CH42 with the frequency of 642 MHz; CH46 with the frequency of 674 MHz and CH54 with the frequency of 738 MHz, whereas the distance from the transmitted station ranges between 2.5 and 6.5 km. The calibration is conducted through a method of mean error (ME) and root mean square error (RMSE) from the value of the received signal and the calibrated model’s efficient indicator is through the value of relative error (RE). The analytical results of ME and RMSE show that the new Hata Path Loss Model is optimal for the calibration as its RE value is not only closer to zero but also closer to the measured data than the original model or other compared models. The path loss calibration with ME value is more accurate and more suitable for the work of the network design than the ones using RMSE value.
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    Optimized Walficsh-Bertoni model for path loss prediction DTTV propagation in urban area of Southern Thailand
    (2015-10-01)
    Keawbunsong, Pitak
    ;
    Supannakoon, Pitchaya
    ;
    Promwong, Sathaporn
    This article presents the optimization of a Walficsh-Bertoni path loss model to be used in designing the DTTV propagation in an urban area of southern Thailand through the data collection on the signal power that the network operators of 4 channels broadcasting within the distance of 2.5–6.5 Km. in urban Hat Yai, Songkla Province, an area of high density with buildings. A least square method is used for the optimization while an efficient indicator is through statistical values of root mean square error (RMSE) and relative error (RE). The result is a new Walficsh-Bertoni model that has RMSE value lesser than the original model whereas the RE value is also closer to zero than the original models. Subsequently, the Walficsh-Bertoni model is more precise in a prediction, making it optimized for use in planning the network.
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    Optimization of path loss model for prediction DTTV propagation in urban area of Southern Thailand
    (2015-10-01)
    Keawbunsong, Pitak
    ;
    Supannakoon, Pitchaya
    ;
    Promwong, Sathaporn
    This article presents the optimization of a path loss model in order to design the DTTV propagation network in the urban area of southern Thailand by selecting urban Hat Yai, Songkla Province as the case study for data collection on received signal power from the signal measurement during the broadcasting of the network operators in 4 channels. A least square method is used to optimize the path loss model while an efficient indicator is conducted through a statistical value of mean error (ME), root mean square error (RMSE) and standard deviation of error (SD). It is found that Hata path loss model is the most suitable for the optimization process. Through the least square method, a parameter of the constant value of each frequency is obtained. The statistical values indicate that new Hata path loss model is closer to the measured data than the original predicted model which proves that the Hata model is more precise and more optimized for the planning and designing the network.