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AN ADAPTIVE MULTI-FREQUENCY GPS TRACKING ALGORITHM, GPS CNAV MESSAGE DECODING, AND PERFORMANCE ANAYSIS

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2014, Master of Science, Miami University, Computational Science and Engineering.
GPS modernization program, aimed at improving the performance of GPS services, is introducing new civilian signals on different bands to the system. The existence of the newly-introduced L2C and L5 signals allows for the development of a more robust, sensitive, and reliable GPS receiver architecture. This thesis investigates two applications of the GPS modernization efforts. The first application is the development of an adaptive multi-frequency GPS carrier tracking algorithm designed for ionosphere scintillation monitoring. Ionosphere scintillation is a natural interference on GPS signals caused by propagation through irregular plasma structures in the ionosphere. Ionospheric scintillation is characterized by signal amplitude and carrier phase fluctuations. A conventional GPS receiver tracks each satellite signal independently may lose lock of the signal during strong scintillations. However, signals at different frequencies from the same satellite may experience deep fading at different times. The algorithm developed in this thesis takes advantage of the frequency diversity of scintillations phenomena by using tracking loop output from one or two frequency bands with nominal signal power to aid the tracking of fading signals on other frequency bands. Real IF data collected on Ascension Island during strong scintillations are used to evaluate and demonstrate the effectiveness of the algorithm performance. The second component of the thesis concerns the development of a computationally efficient algorithm to decode modernized civilian navigation message (CNAV) and performance comparison of the CNAV ephemeris with the legacy navigation message (LNAV) ephemeris. CNAV is another new feature in the GPS modernization program, which is broadcast on the new GPS L2C and L5 signals as an upgraded version of the LNAV broadcast on L1 signal. During this thesis research, raw IF data containing live broadcast CNAV message were recorded in 2013 and 2014 and processed to compare the performance of the conventional Viterbi method and computationally efficient matrix-based method to decode CNAV messages. GPS ephemerides were extracted from the CNAV messages to compute satellite orbit solutions. The orbit solution accuracy is then compared with that computed from legacy NAV messages during the same time period to demonstrate the performance difference in the CNAV ephemeris precision.
Yu Morton, PhD (Advisor)
Chi-Hao Cheng, PhD (Committee Member)
Eric Vinande, PhD (Committee Member)
Jeffery Hebert, PhD (Committee Member)
73 p.

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Citations

  • Yin, H. (2014). AN ADAPTIVE MULTI-FREQUENCY GPS TRACKING ALGORITHM, GPS CNAV MESSAGE DECODING, AND PERFORMANCE ANAYSIS [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1407774289

    APA Style (7th edition)

  • Yin, Hang. AN ADAPTIVE MULTI-FREQUENCY GPS TRACKING ALGORITHM, GPS CNAV MESSAGE DECODING, AND PERFORMANCE ANAYSIS . 2014. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1407774289.

    MLA Style (8th edition)

  • Yin, Hang. "AN ADAPTIVE MULTI-FREQUENCY GPS TRACKING ALGORITHM, GPS CNAV MESSAGE DECODING, AND PERFORMANCE ANAYSIS ." Master's thesis, Miami University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1407774289

    Chicago Manual of Style (17th edition)