PPT-NS: Prioritized Progressive Trend Based Navigational System on GPS data with Artifacts
Prabha R1, Mohan K G2

1Prabha R*, Research Scholar, Visvesvaraya Technological University, Belagavi, Karnataka, India.
2Mohan K G, Professor and Head, Department of CSE, Presidency University, Bengaluru, Karnataka, India.

Manuscript received on November 13, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 621-630 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6554129219/2019©BEIESP | DOI: 10.35940/ijitee.B6554.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The Global Positioning System is extensively used in the various context and location service-based applications. Any kind of abnormalities requires an efficient and suitable pre-processing algorithm to be implemented on the data which provides accurate results when used in the application synchronizations. This paper illustrates a framework for various pre-processing techniques applied to the real-time GPS data and its effect on trajectory mapping. The technique used includes Prioritized pattern-based, Savitzky-Golay filtering, outlier elimination, de-trending, and coefficient correlation. The performance assessment of methods discussed in this study is calculated in terms of accuracy with the original and re-created trajectory after the pre-processing and found that the best result is given by moving window method. 
Keywords: Global Positioning System, Time Series Analysis, Navigational System, Artifacts, Digital Filters
Scope of the Article: Digital System and Logic Design