论文标题
基于DGNSS和多径缓解定位之间的模式切换，无缝准确的定位在深区区域
Seamless Accurate Positioning in Deep Urban Area based on Mode Switching Between DGNSS and Multipath Mitigation Positioning
论文作者
论文摘要
多路径和非线（NLOS）信号是城市地区全球导航卫星系统（GNSS）准确性差的主要原因。尽管GNS在人口稠密的城市区域中使用了广泛的使用，但很难建议一种广义方法，因为多径错误是用户特定的错误，DGNSS或实时运动学技术无法消除。本文介绍了一种实时多径估计和缓解技术，该技术考虑了星座之间的时间偏移的补偿。它还提出了DGNSS和多径减轻模式之间的模式转换算法，并表明该技术可以在深处的城市环境中有效地用于汽车，而无需GNSS以外的其他传感器。在韩国首尔的Teheran-Ro上，误差RMS从64％提高到100％，误差RMS从11.1 m减少到1.2 m。由于此方法不需要事先的信息或其他传感器实施来在深处的城市地区进行高位置性能，因此预计不仅在汽车行业，而且还将在未来的智能运输系统中获得广泛的使用。
Multipath and non-line-of-sight (NLOS) signals are the major causes of poor accuracy of a global navigation satellite system (GNSS) in urban areas. Despite the wide usage of the GNSS in populated urban areas, it is difficult to suggest a generalized method because multipath errors are user-specific errors that cannot be eliminated by the DGNSS or a real-time kinematic technique. This paper introduces a real-time multipath estimation and mitigation technique, which considers compensation for the time offset between constellations. It also presents a mode-switching algorithm between the DGNSS and multipath mitigating mode and shows that this technique can be effectively utilized for automobiles in a deep urban environment without any help from sensors other than GNSS. The availability is improved from 64% to 100% and the error RMS is reduced from 11.1 m to 1.2 m on Teheran-ro, Seoul, Korea. Because this method does not require prior information or additional sensor implementation for high-positioning performance in deep urban areas, it is expected to gain wide usage in not only the automotive industry but also future intelligent transportation systems.
