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

机译：具有改进的智能手机位置误差模型的RTK-GPS定位应用程序的开发

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摘要

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.
机译：这项研究开发了一种智能手机应用程序，该应用程序提供无线通信，NRTIP客户端和RTK处理功能，并可以简化网络RTK-GPS系统，同时降低所需的成本。提出了一种在网络RTK测量中误差模型的确定方法，该方法考虑了随机误差和自相关误差，可以使用状态估计滤波器准确计算应用程序测量的坐标。对已开发应用程序的性能评估表明，它可以在20 Hz频率的几厘米误差范围内执行高精度的实时定位。如本研究中所述，将卡尔曼滤波器应用于从该应用程序测得的坐标，以评估确定误差模型的方法的适当性。与仅考虑随机误差的现有误差模型相比，结果更准确。

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