Loh, Kah How (2016) Improved GPS Single Point Positioning Using Weighted Least Square Method. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Improved GPS Single Point Positioning Using Weighted Least Square Method.pdf - Submitted Version Download (593kB) |
Abstract
Global positioning system (GPS) is a satellite-based system used for navigation purpose. The exact location of a receiver on Earth can be determined by using this system. In order to estimate the position of the receiver, the receiver is required at least four satellites view on the space with the observed pseudo-range or carrier phase from each satellite has been detected. However, the accuracy of the location on the earth is depending on the satellite views and the elevation angle of the satellite to the ground receiver. In addition, the accuracy also affected by the time delay from receiver clock bias, ionospheric delay and the tropospheric delay. In order to improve the accuracy of GPS single point positioning, the weighted least square method is proposed. Analysis was done for the accuracy improvement brought by this method. In this project, the weighted least square algorithm is written in MATLAB software to calculate the exact position of receiver on earth by using the Receiver Independent Exchange (RINEX) file as the input raw data. In addition, another method which is ordinary least square method is also written in MATLAB software to make a comparison with the weighted least square method. Based from the simulation result, all weighted least square provided the promising results with smaller standard deviation value compared to ordinary least square method. There are 3 different parameters were used as weight for weighted least square method which is sinusoidal function, zero-difference pseudo-range sinusoidal function and tangent function.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Global Positioning System |
Subjects: | T Technology > T Technology (General) T Technology > TL Motor vehicles. Aeronautics. Astronautics |
Divisions: | Faculty of Electronics and Computer Engineering |
Depositing User: | Muhammad Afiz Ahmad |
Date Deposited: | 13 Jul 2017 07:42 |
Last Modified: | 13 Jul 2017 07:42 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/18638 |
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