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Performance Analysis of Code-Based Relative GPS Positioning as Function of Baseline Separation

机译:基于代码的相对GPS定位性能分析作为基线分离功能

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With the beginning of the space age and, consequently, the advent of new technologies, it was possible to develop low-cost positioning and navigation systems with global coverage, reaching accuracy up to 10 m. Nevertheless, many modern-day applications have arisen demanding navigation technologies able to provide sub-meter position accuracy, still at low-cost. Relative Global Navigation Satellite System (RGNSS) is a well-known technique used to correct common-mode errors present in GNSS observables. RGNSS is susceptible to two main degradation factors, namely, communication latency and baseline separation between the rover and reference. This paper investigates the sensitivity of position estimation accuracy as function of baseline separation between stationary Global Positioning System (GPS) receivers. As main contribution, we show that it is possible to achieve 1 m horizontal accuracy at 68% of probability with baselines up to 2100 km between rover and reference station. Experimental data collected from the Brazilian Network for Continuous Monitoring of GNSS (RBMC) are used to validate the analysis.
机译:随着空间年龄的开始,因此,新技术的出现,有可能开发具有全球覆盖率的低成本定位和导航系统,达到高达10米的准确性。尽管如此,许多现代应用已经出现了能够提供子仪表位置精度的导航技术,仍处于低成本。相对全球导航卫星系统(RGNSS)是一种众所周知的技术,用于校正GNSS可观察到中存在的共模误差。 RGNSS易受两个主要的降级因素,即沟渠和参考之间的通信延迟和基线分离。本文研究了定位估计精度作为静止全球定位系统(GPS)接收器之间基线分离功能的敏感性。作为主要贡献,我们表明,在罗弗和参考站之间的基线高达2100公里,可以在68%的概率下实现1米的水平准确性。从巴西网络收集的实验数据用于连续监测GNSS(RBMC)来验证分析。

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