祝会忠, 李军, 徐爱功, 甄杰, 雷啸挺. 灾害应急环境下智能终端高精度北斗增强定位方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(8): 1155-1167. DOI: 10.13203/j.whugis20200123
引用本文: 祝会忠, 李军, 徐爱功, 甄杰, 雷啸挺. 灾害应急环境下智能终端高精度北斗增强定位方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(8): 1155-1167. DOI: 10.13203/j.whugis20200123
ZHU Huizhong, LI Jun, XU Aigong, ZHEN Jie, LEI Xiaoting. High-Precision BDS Augmented Positioning Method for Disaster Emergency Environment on Smart Device[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1155-1167. DOI: 10.13203/j.whugis20200123
Citation: ZHU Huizhong, LI Jun, XU Aigong, ZHEN Jie, LEI Xiaoting. High-Precision BDS Augmented Positioning Method for Disaster Emergency Environment on Smart Device[J]. Geomatics and Information Science of Wuhan University, 2020, 45(8): 1155-1167. DOI: 10.13203/j.whugis20200123

灾害应急环境下智能终端高精度北斗增强定位方法

High-Precision BDS Augmented Positioning Method for Disaster Emergency Environment on Smart Device

  • 摘要: 针对灾害应急环境下的高精度定位需求,研究了一种基于智能终端的长距离北斗增强定位方法,通过长距离参考站提供非差误差改正数,用户可采用非常灵活的数据处理方法。采用分类误差处理满足长距离高精度增强定位的需求,实现用户长距离伪距增强定位、载波相位增强定位以及载波相位平滑伪距增强定位等多种增强定位方式。提出了基于非差误差改正数的相位平滑方法,通过消除误差后的观测值估计整周模糊度,然后重新拟合伪距观测值,并利用参考站平滑后的非差误差改正数削弱用户定位误差。伪距观测值不涉及模糊度,定位模式简单且实时性高,利用载波相位观测值来提高伪距定位的精度,能够更好地满足灾害应急环境下用户高精度定位的需求。在智能终端融合了针对用户专用接收机设备的增强定位数据处理方法,智能终端既可作为观测数据源,又可作为用户定位数据处理的载体。采用实测数据进行了智能终端增强定位算法验证与分析,结果表明所提方法能够实现用户实时厘米级、分米级和亚分米级等优于1 m的高精度定位。

     

    Abstract:
      Objective   The uncertainty of influencing factors of BDS positioning is great in the disaster environment and emergency scene. The applicability and maneuverability of receiver in disaster emergency environment may not meet the needs of positioning. Therefore, the method of augmented positioning between long range stations on smart device was researched to meet the demand high-precision positioning in disaster emergency environment. The augmented positioning algorithm is convenient for high efficiency and easy to realize, and the user can use a very flexible data processing method.
      Methods   The un-difference error corrections between long-range reference stations was used of augmented positioning. The satellite clock error was eliminated and the atmospheric error and satellite orbit error can be weakened by the un-difference error corrections. The augmented positioning of user including pseudo-range, carrier phase and carrier phase smoothing pseudo-range between long range stations were achieved. And the demand of high-precision positioning of long range was meted by corrections of classified errors. The method of carrier phase smoothing pseudo-range by un-difference error corrections was used. The integer ambiguity was estimated by observations with eliminating errors and the pseudo-range was recalculated by the simple smoothing formula. The user station errors were removed or corrected by the reference station smoothing error corrections.The pseudo-range observations do not involve ambiguity with simple positioning mode and high- real-time performance, at the same time the accuracy of pseudo-range positioning can be improved by carrier phase observations. And this method can be better applied to the demand for high-precision positioning in disaster environment. The augmented positioning for specific receiver equipment was also integrated in the smart device.
      Results   Three reference stations between long range together with smart device and receiver in North China were used to test the augmented positioning. The positioning accuracy of dm or cm can be obtained by augmented positioning with pseudo-range and carrier phase smoothing of receiver, the accuracy on cm level obtained with carrier phase. The smart device can get the position on dm level of horizontal with carrier phase smoothing augmented positioning, and the augmented positioning with carrier phase was able to achieve the accuracy on cm level by fixed ambiguity or float ambiguity. The kinematic augmented positioning of smart device can get the positioning accuracy better than 1 meter with the test at Liaoning.
      Conclusions   The smart device can be used as the source of observation and the carrier of data processing for user receiver positioning. The results indicate that the method can achieve high-precision positioning with real-time dynamic centimetre, decimetre and sub-meter levels better than 1 meter.

     

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