Abstract
This paper prensents a new GPS positioning algorithm and show the results of performance evaluation. This algorithm takes account of the condition that the GPS antennas do not move in a short period of time and are deployed densely in a local area. These conditions enable to apply a linear function to the time seires data of double differenced carrier phases. This constraint helps to improve the condition number of coefficient matrix of unknown vector in the observation equation. Then, the accuracy and reliability of GPS positioning are improved. In the performance evaluation, at first, two experiments are conducted in an ideal condition to observe carrier phases for 24 hours. The observed data is analyzed using the developed program and the results show that the new algorithm gives better accuracy and success rate of GPS positioning.
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