Myint, Lin Min

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Myint, Lin Min
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Myint, L. M.
Myint, L.
Myint, Lin Min Min
Myint, Lin M.
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linminmin.my@kmitl.ac.th

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    Item type:Publication,
    Study on Effect of Equatorial Plasma Bubble over Real-Time Kinematic Positioning in Bangkok Thailand
    (2022-01-01)
    Thu, Phyo C.
    ;
    Supnithi, Pornchai
    ;
    Myint, Lin Min Min
    ;
    Budtho, Jirapoom
    ;
    Saito, Susumu
    Equatorial plasma bubbles (EPBs) depict local ionospheric irregularity in low-latitude regions which can spread to mid-latitude regions. In this work, we analyzed the effects of the EPBs on the performance of real-time kinematic (RTK) positioning at the short, medium, and long baselines in Bangkok, Thailand. We used the kinematic positioning mode provided by a free and open-source software (FOSS) package called RTKLIB to analyze the positioning errors. It is found that the positioning errors are higher during the disturbance periods and more severe in the long baseline case.
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    Instrumental Receiver Bias Estimation for Ionospheric Total Electron Content by Neural Network Model
    (2023-10-01)
    Thu, Phyo C.
    ;
    Supnithi, Pornchai
    ;
    Budtho, Jirapoom
    ;
    Saekow, Apitep
    ;
    Sopon, Thanomsak
    Total Electron Content (TEC) is one of the most important parameters in the study of the ionosphere, especially for determining ionospheric disturbances. The TEC levels are typically estimated from dual-frequency GPS observation data. Since the measured TEC contains discrepancies such as satellite and receiver biases, they need to be removed to obtain more accurate TEC values. In this work, we estimate the receiver bias using a neural network technique. Based on the exhaustive evaluation, we design a neural network (NN) model with two-hidden layers, and it is trained with datasets from three GNSS observation stations in Thailand. The prediction from the proposed neural network deviates from the baseline reference using the minimum standard deviation method with significantly faster computational time. The trained NN model is also tested for estimating the receiver bias values at other untrained stations in Thailand.