Department of Civil & Environmental Engineering, Sungkyunkwan University, Suwon 440-746, Korea.
Sensors (Basel). 2012 Sep 25;12(10):12988-3001. doi: 10.3390/s121012988.
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.
本研究开发了一款智能手机应用程序，提供无线通信、网络实时动态（NRTIP）客户端和 RTK 处理功能，可简化网络 RTK-GPS 系统并降低成本。提出了一种考虑随机误差和自相关误差的网络 RTK 测量误差模型确定方法，利用状态估计滤波器精确计算应用程序测量的坐标。开发的应用程序的性能评估表明，它可以以 20Hz 的频率进行高精度实时定位，误差范围在几厘米内。应用卡尔曼滤波器处理应用程序测量的坐标，评估本研究中提出的误差模型确定方法的适用性。与仅考虑随机误差的现有误差模型相比，结果更加准确。
