Jamjareegulgarn, Punyawi

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Preferred name
Jamjareegulgarn, Punyawi
Alternative Name
Jamjareegulgarn, P.
Main Affiliation
Email
punyawi.ja@kmitl.ac.th

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    Item type:Publication,
    Improvement of Real-Time Kinematic Positioning Using Kalman Filter-Based Singular Spectrum Analysis During Geomagnetic Storm for Thailand Sector
    (2023-01-01)
    Srisamoodkham, Worachai
    ;
    Ansari, Kutubuddin
    ;
    Jamjareegulgarn, Punyawi
    The ionospheric error is the largest error source of positioning, especially when electron density becomes high during geomagnetic storms. Real-time kinematic (RTK) positioning during the storm time often has higher fluctuation and noise errors in positioning. Therefore, in this work, a technique based on Kalman filter with implementation of singular spectrum analysis (namely KF-SSA) is anticipated for RTK positioning. The RTK drone data are collected around 50 min of interval (7.37 AM to 8.28 AM) on May 12, 2021, with respect to a base station located at 13.84° N, 100.29° E. The RTK positioning tests have been done to determine the positioning accuracy of the proposed algorithm. The simulated results reveal that SSA implication with KF showed very high-precision estimates and improves the positioning accuracy.
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    Item type:Publication,
    Applicability of Klobuchar Model for STEC Estimation Over Thailand Region
    (2023-01-01)
    Srisamoodkham, Worachai
    ;
    Ansari, Kutubuddin
    ;
    Jamjareegulgarn, Punyawi
    In the current study, we investigated the total electron content (TEC) variations over Thailand region by using five multi-constellation Global Navigation satellite system (GNSS) signals. The STEC variations for all multiple GNSSs were computed with well-known ionospheric Klobuchar model and compared with the STEC values of Global Ionospheric map (GIM) on a storm day (May 12, 2021), before as well as after this storm day. The results showed that most of the GIM STEC values (GSVs) were overestimated with the Klobuchar model STEC values (KMSVs) for all constellations, except QZSS. As for the QZSS, the KMSVs were closest to the GSVs. Likewise, the MS-SHF-based Klobuchar model (MSSHFKM method) was able to compensate the ionospheric delay effectively as compared to the original Klobuchar model up to 77.08% RMSE during the geomagnetic storm on May 12, 2021.