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Development of an RTK-GPS Positioning Application with an Improved Position Error Model for Smartphones
Department of Civil & Environmental Engineering, Sungkyunkwan University, Suwon 440-746, Korea
Department of Spatial Information Engineering, Pukyong National University, Busan 608-737, Korea
* Authors to whom correspondence should be addressed.
Received: 30 July 2012; in revised form: 14 September 2012 / Accepted: 20 September 2012 / Published: 25 September 2012
Abstract: 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.
Keywords: smartphone application; network RTK-GPS; NRTIP; Kalman filter; position error model
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Hwang, J.; Yun, H.; Suh, Y.; Cho, J.; Lee, D. Development of an RTK-GPS Positioning Application with an Improved Position Error Model for Smartphones. Sensors 2012, 12, 12988-13001.
Hwang J, Yun H, Suh Y, Cho J, Lee D. Development of an RTK-GPS Positioning Application with an Improved Position Error Model for Smartphones. Sensors. 2012; 12(10):12988-13001.
Hwang, Jinsang; Yun, Hongsik; Suh, Yongcheol; Cho, Jeongho; Lee, Dongha. 2012. "Development of an RTK-GPS Positioning Application with an Improved Position Error Model for Smartphones." Sensors 12, no. 10: 12988-13001.