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      Position Accuracy Improvement by Implementing the DGNSS-CP Algorithm in Smartphones

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          Abstract

          The position accuracy of Global Navigation Satellite System (GNSS) modules is one of the most significant factors in determining the feasibility of new location-based services for smartphones. Considering the structure of current smartphones, it is impossible to apply the ordinary range-domain Differential GNSS (DGNSS) method. Therefore, this paper describes and applies a DGNSS-correction projection method to a commercial smartphone. First, the local line-of-sight unit vector is calculated using the elevation and azimuth angle provided in the position-related output of Android’s LocationManager, and this is transformed to Earth-centered, Earth-fixed coordinates for use. To achieve position-domain correction for satellite systems other than GPS, such as GLONASS and BeiDou, the relevant line-of-sight unit vectors are used to construct an observation matrix suitable for multiple constellations. The results of static and dynamic tests show that the standalone GNSS accuracy is improved by about 30%–60%, thereby reducing the existing error of 3–4 m to just 1 m. The proposed algorithm enables the position error to be directly corrected via software, without the need to alter the hardware and infrastructure of the smartphone. This method of implementation and the subsequent improvement in performance are expected to be highly effective to portability and cost saving.

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          Most cited references30

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          U.S. smartphone use in 2015

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            Evaluation of GPS Ionospheric Time-Delay Model

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              Development of an RTK-GPS Positioning Application with an Improved Position Error Model for Smartphones

              This study developed a smartphone application that provides wireless communication, NRTIP client, and RTK processing features, and which can simplify the Network RTK-GPS system while reducing the required cost. A determination method for an error model in Network RTK measurements was proposed, considering both random and autocorrelation errors, to accurately calculate the coordinates measured by the application using state estimation filters. The performance evaluation of the developed application showed that it could perform high-precision real-time positioning, within several centimeters of error range at a frequency of 20 Hz. A Kalman Filter was applied to the coordinates measured from the application, to evaluate the appropriateness of the determination method for an error model, as proposed in this study. The results were more accurate, compared with those of the existing error model, which only considered the random error.
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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                18 June 2016
                June 2016
                : 16
                : 6
                : 910
                Affiliations
                [1 ]School of Aerospace Engineering, Sejong University, Seoul 05006, Korea; donghwan@ 123456sju.ac.kr
                [2 ]Institute of Advanced Aerospace Technology, School of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Korea; kee@ 123456snu.ac.kr
                [3 ]School of Integrated Technology and Yonsei Institute of Convergence Technology, Yonsei University, Incheon 21983, Korea; jiwon.seo@ 123456yonsei.ac.kr
                Author notes
                [* ]Correspondence: byungwoon@ 123456sejong.ac.kr ; Tel.: +82-2-3408-4385
                Article
                sensors-16-00910
                10.3390/s16060910
                4934336
                27322284
                8d7b5070-631e-41b1-9e84-8683aa59d216
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 24 March 2016
                : 14 June 2016
                Categories
                Article

                Biomedical engineering
                smartphone,android,location-based system,global navigation satellite system,differential gnss

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