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基于三频SNR数据探测北斗GEO卫星多径效应
引用本文:高晓,杨志强,康军梅,王君.基于三频SNR数据探测北斗GEO卫星多径效应[J].武汉大学学报(信息科学版),2018,43(2):213-218.
作者姓名:高晓  杨志强  康军梅  王君
作者单位:1.长安大学地质工程与测绘学院, 陕西 西安, 710054
基金项目:国家自然科学基金41504001
摘    要:多径误差是全球卫星导航系统(global navigation satellite system,GNSS)高精度实时定位的主要误差源。由于多径效应具有时变特性且与观测环境有关,难以有效探测与剔除,尤其是动态定位领域。鉴于多径效应对于同颗卫星不同频率观测值影响不同,本文采用三频信噪比(signal-noise ratio,SNR)频率间差分数据,设计算法探测北斗对地静止卫星(geostationary orbit satellite,GEO)多径误差,并依据开阔环境SNR频间差分数据序列进行统计分析,确定其探测阈值。实验结果表明,北斗GEO卫星易受多径误差影响,传统方法难以实时有效探测,本文提出的新方法可有效探测GEO多径误差,并基于设定的阈值对其数据进行降权或剔除,可应用于GNSS数据质量控制。

关 键 词:多径效应    SNR    三频    北斗    GEO    实时    探测阈值
收稿时间:2016-05-05

BDS GEO Satellites Multipath Detection Using Three-frequency Signal-to-Noise Measurements
Affiliation:1.College of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China2.Northwest Electric Power Design Institute Co., LTD. of China Power Engineering Consulting Group, Xi'an 710032, China
Abstract:Multipath interference is a main source of GNSS positioning errors in real-time applications as the majority of the systematic errors can be effectively removed through modeling and differential technologies. Because multipath-error has time-varying characteristics closely related to the observation environment, it is difficult to detect and eliminate, especially in dynamic positioning. Because the multipath effect on the different frequencies is quite different, this paper introduces a new method to detect BeiDou GEO satellite multipath-error based on the frequency-difference data of the triple-frequency SNR observables, . Three-frequency SNR-based multipath detector was developed using the observables from the BDS GEO satellites in the open-sky environment. The GNSS data in the high-multipath environment was used to verify the reliability and validity of the new method, The results show that BeiDou GEO satellites are easily affected by the multipath-error, and ordinary methods cannot easily detect this error. The new method proposed in this paper effectively detectz GEO multipath error, and reduces or eliminates the weight of the observables based on a threshold. It can be applied in GNSS data quality control.
Keywords:
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