¹Beijing Vocational College of Electronic Science,Beijing, China
²Dept. of Electronic and Information Eng., Beihang University, Beijing, China
³Dept. of Informatics, Fort Hays State University, KS 67601 - 4099, USA

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Abstract—Make the balance among the signal power and solve GPS drifting problem has become the new research focus. The approaches of the algorithms adjustment and checking are conducted in the GPS storage location. For guaranteeing the quality of the relevant GPS software and not restricted by data type and source, two new algorithms is designed. Key parameters of the algorithm can be manually-controlled and suited to the different data sets and the movement objects. Hence the requirement for the GPS receiver performance can be reduced and the limited capability weakness of the embedded computing is compensated. However, the proposed algorithms can not achieve much more performance gain with a poor quality GPS position data. For guaranteeing the quality of the relevant GPS software and not restricted by data type and source,two new algorithms is designed. Key parameters of the algorithm can be manually-controlled and suited to the different data sets and the movement objects. The proposed algorithms are better methods for data secondary discrimination and correction with high quality GPS data. Moreover, with the development and maturity of the time series method, the proposed algorithm will have more potential to grow and establish. The algorithms which based on temporal series and Euclidean space make improvement for the positioning accuracy of GPS data.

Index Terms—problem of drifting, temporal series, euclidean space, flat noise

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Cite: Huang Guanli, Yang Bin, Jiang Keyu, "New Algorithms on the Solution to Drifting Problem of GPS Positioning," Journal of Computers vol. 6, no. 1, pp. 83-89, 2011.