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Efficient differential code bias and ionosphere modeling and their impact on the network-based GPS positioning

Hong, Chang-Ki
http://rave.ohiolink.edu/etdc/view?acc_num=osu1190083730

Abstract Details

2007, Doctor of Philosophy, Ohio State University, Geodetic Science and Surveying.
One of the major error sources in using Global Positioning System (GPS) measurements for modeling the ionosphere is the receiver differential code bias (DCB). Therefore, the determination of the receiver DCB is important, and to date, it has been done mostly using the single-layer ionospheric model assumption. In this dissertation, a new and efficient algorithm using the geometry conditions between the satellite and the tracking receivers is proposed to determine the receiver DCB using permanent reference stations. In this method, an assumption that ionosphere is represented by a single-layer model is not required, which makes DCB computation independent on the pre-selected ionosphere model. In addition, this method is simple, accurate and computationally efficient. The principal idea is that the magnitude of the signal delay caused by the ionosphere is, under normal conditions, highly dependent on the geometric range between the satellite and the receiver. The proposed algorithm was tested with the Ohio Continuously Operating Reference Stations (CORS) and the Transantarctic Mountains Deformation (TAMDEF) sub-network data. The results show that quality comparable to the traditional DCB estimation method is obtainable with greater computational efficiency and simple algorithmic implementation.
Dorota Grejner-Brzezinska (Advisor)
221 p.
Geodesy
GPS; GPS remote sensing; GPS positioning; ionosphere modeling

Recommended Citations

Citations

  • Hong, C.-K. (2007). Efficient differential code bias and ionosphere modeling and their impact on the network-based GPS positioning [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1190083730

    APA Style (7th edition)

  • Hong, Chang-Ki. Efficient differential code bias and ionosphere modeling and their impact on the network-based GPS positioning. 2007. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1190083730.

    MLA Style (8th edition)

  • Hong, Chang-Ki. "Efficient differential code bias and ionosphere modeling and their impact on the network-based GPS positioning." Doctoral dissertation, Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1190083730

    Chicago Manual of Style (17th edition)

osu1190083730
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© 2007, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.