多频多模GNSS接收机差分相位偏差的短期时变特性

doi:10.11947/j.AGCS.2021.20200489

测绘学报 ›› 2021, Vol. 50 ›› Issue (10): 1290-1297.doi: 10.11947/j.AGCS.2021.20200489

多频多模GNSS接收机差分相位偏差的短期时变特性

糜晓龙^1,2, 袁运斌¹, 张宝成¹

1. 中国科学院精密测量科学与技术创新研究院, 湖北武汉 430017;
2. 中国科学院大学, 北京 100049

收稿日期:2020-09-28 修回日期:2021-08-15 发布日期:2021-11-09
通讯作者: 袁运斌 E-mail:yybgps@whigg.ac.cn
作者简介:糜晓龙(1996-),男,博士生,研究方向为GNSS精密定位及其应用。E-mail:xiaolong_mi@asch.whigg.ac.cn
基金资助:
国家自然科学基金（42022025；41774042）；中科院科研仪器设备研制项目（YJKYYQ20190063）；国家重点研发计划（2016YFB0501900）

Characteristics of the short-term temporal variations of multi-constellation and multi-frequency GNSS receiver differential phase biases

MI Xiaolong^1,2, YUAN Yunbin¹, ZHANG Baocheng¹

1. Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430017, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2020-09-28 Revised:2021-08-15 Published:2021-11-09
Supported by:
The National Natural Science Foundation of China (Nos. 42022025;41774042);The Scientific Instrument Developing Project of the Chinese Academy of Sciences (No. YJKYYQ20190063);The National Key Research Program of China (No. 2016YFB0501900)

摘要/Abstract

摘要： 随着中国北斗三号全球导航卫星系统（BeiDou-3 Navigation Satellite System，BDS-3）的建成、欧盟伽利略系统（Galileo）及日本准天顶卫星系统（quasi-zenith satellite system，QZSS）的发展，越来越多的卫星可用于反演大气电离层。通常，接收机差分码偏差（differential code biases，DCB）的短时变化被认为是利用全球导航卫星系统（Global Navigation Satellite System，GNSS）反演电离层的重要误差来源，然而，有研究表明，接收机差分相位偏差（differential phase biases，DPB）的短时变化也有可能影响电离层反演的精度和可靠性。为此，本文提出了基于站间单差模型并采用不变换参考星策略来估计接收机DPB的方法，可实现接收机DPB的连续估计。基于几台可跟踪BDS-3信号的多频多模接收机采集的数据，对BDS-3、Galileo、GPS和QZSS重叠频率组合的DPB进行了分析。结果表明，四系统的接收机DPB日变化都是很明显的，并且和温度有很强的相关性；基于不同系统重叠频率组合的DPB之间存在强相关；基于相同类型接收机的DPB的变化也存在明显的相关性。

关键词: 差分码偏差, 差分相位偏差, 全球导航卫星系统, 北斗全球导航卫星系统, 伽利略系统, 准天顶卫星系统

Abstract: With the completion of the BeiDou-3 Navigation Satellite System (BDS-3) and the development of Galileo and quasi-zenith satellite system (QZSS), more and more satellites can be used to retrieve the atmospheric ionosphere. Generally, the short-time variation of receiver differential code biases (DCB) is considered as an important error source for ionospheric inversion using Global Navigation Satellite System (GNSS). However, some studies have shown that the short-time variation of receiver differential phase biases (DPB) may also affect the accuracy and reliability of ionospheric inversion. This paper presents a method to estimate the receiver DPB based on the single-differenced (SD) model without changing the reference satellite, which can realize the continuous estimation of the receiver DPB. DPB of the overlapping frequency combination of BDS-3, Galileo, GPS and QZSS is analyzed based on data collected from several multi-frequency and multi-constellation receivers capable of tracking the new signals of the BDS-3. The results show that ① The intraday changes of DPB of BDS-3, Galileo, GPS and QZSS are obvious and have a strong correlation with temperature. ② There is a strong correlation between the DPB of the overlapping frequency combinations of BDS-3, Galileo, GPS and QZSS. ③ There is a significant correlation between changes in DPB based on the baseline of the same type of combination.

Key words: differential code biases, differential phase biases, Global Navigation Satellite System, BeiDou navigation satellite system with global coverage, Galileo, quasi-zenith satellite system

中图分类号:

P228

糜晓龙, 袁运斌, 张宝成. 多频多模GNSS接收机差分相位偏差的短期时变特性[J]. 测绘学报, 2021, 50(10): 1290-1297.

MI Xiaolong, YUAN Yunbin, ZHANG Baocheng. Characteristics of the short-term temporal variations of multi-constellation and multi-frequency GNSS receiver differential phase biases[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(10): 1290-1297.

参考文献

[1] GARCIA F M, HERNANDEZ P M, JUAN M, et al. Improvement of ionospheric electron density estimation with GPSMET occultations using Abel inversion and VTEC information[J]. Journal of Geophysical Research:Space Physics, 2003, 108(A9).
[2] KERO A, VIERINEN J, MCKAY B D, et al. Ionospheric electron density profiles inverted from a spectral riometer measurement[J]. Geophysical Research Letters, 2014, 41(15):5370-5375.
[3] YUAN Yunbin, OU Jikun. Differential areas for differential stations (DADS):a new method of establishing grid ionospheric model[J]. Chinese Science Bulletin, 2002, 47(12):1033-1036.
[4] JIN Rui, JIN Shuanggen, FENG Guiping. M_DCB:Matlab code for estimating GNSS satellite and receiver differential code biases[J]. GPS solutions, 2012, 16(4):541-548.
[5] ZHANG Baocheng, TEUNISSEN P J G. Characterization of multi-GNSS between-receiver differential code biases using zero and short baselines[J]. Science Bulletin, 2015, 60(21):1840-1849.
[6] MONTENBRUCK O, HAUSCHILD A, STEIGENBERGER P. Differential code bias estimation using multi-GNSS observations and global ionosphere maps[J]. Navigation:Journal of the Institute of Navigation, 2014, 61(3):191-201.
[7] 杨元喜,许扬胤,李金龙,等.北斗三号系统进展及性能预测——试验验证数据分析[J].中国科学:地球科学,2018,48(5):584-594. YANG Yuanxi, XU Yangyin, LI Jinlong, et al. Progress and performance evaluation of BeiDou global navigation satellite system:data analysis based on BDS-3 demonstration system[J]. Science China Earth Sciences, 2018, 48(5):584-594.
[8] 郭树人,蔡洪亮,孟轶男,等.北斗三号导航定位技术体制与服务性能[J].测绘学报,2019,48(7):810-821. DOI:10.11947/j.AGCS.2019.20190091. GUO Shuren, CAI Hongliang, MENG Yinan, et al. BDS-3 RNSS technical characteristics and service performance[J]. Acta Geodaetica et Cartographica Sinica,2019,48(7):810-821.DOI:10.11947/j.AGCS.2019.20190091.
[9] YALÜAC S, BERBER M. Galileo satellite data contribution to GNSS solutions for short and long baselines[J]. Measurement, 2018, 124:173-178.
[10] KATSIGIANNI G, PEROSANZ F, LOYER S, et al. Galileo millimeter-level kinematic precise point positioning with ambiguity resolution[J]. Earth, Planets and Space, 2019, 71(1):1-6.
[11] INABA N, NODA H, KURODA T, et al. QZSS system design and initial performance verification[C]//Proceedings of 2011 International Technical Meeting of the Institute of Navigation. 2011:1109-1117.
[12] 楼益栋,郑福,龚晓鹏,等.QZSS系统在中国区域增强服务性能评估与分析[J].武汉大学学报(信息科学版),2016,41(3):298-303. LOU Yidong, ZHENG Fu, GONG Xiaopeng, et al. Evaluation of QZSS system augmentation service performance in China region[J]. Geomatics Information Science of Wuhan University 2016, 41:298-303.
[13] GAO Zhouzheng, GE Maorong, SHEN Wenbin, et al. Ionospheric and receiver DCB-constrained multi-GNSS single-frequency PPP integrated with MEMS inertial measurements[J]. Journal of Geodesy, 2017, 91(11):1351-1366.
[14] CIRAOLO L, AZPILICUETA F, BRUNINI C, et al. Calibration errors on experimental slant total electron content (TEC) determined with GPS[J]. Journal of Geodesy, 2007,81(2):111-120.
[15] LI Zishen, YUAN Yunbin, LI Hui, et al. Two-step method for the determination of the differential code biases of compass satellites[J]. Journal of Geodesy, 2012,86(11):1059-076.
[16] LI Zishen, YUAN Yunbin, FAN Lei, et al. Determination of the differential code bias for current BDS satellites[J]. IEEE transactions on geoscience and remote sensing, 2013, 52(7):3968-3979.
[17] COSTER A, WILLIAMS J, WEATHERWAX A, et al. Accuracy of GPS total electron content:GPS receiver bias temperature dependence[J]. Radio Science, 2013, 48(2):190-196.
[18] ZHA Jiuping, ZHANG Baocheng, YUAN Yunbin, et al. Use of modified carrier-to-code leveling to analyze temperature dependence of multi-GNSS receiver DCB and to retrieve ionospheric TEC[J]. GPS Solutions, 2019, 23(4):103.
[19] LI Min, YUAN Yunbin, WANG Ningbo, et al. Estimation and analysis of the short-term variations of multi-GNSS receiver differential code biases using global ionosphere maps[J]. Journal of Geodesy, 2018, 92(8):889-903.
[20] 袁运斌, 张宝成, 李敏. 多频多模接收机差分码偏差的精密估计与特性分析[J]. 武汉大学学报(信息科学版), 2018, 43(12):2106-2111. YUAN Yunbin, ZHANG Baocheng, LI Min. Precise estimation and characteristic analysis of multi-GNSS receiver differential code biases[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12):2106-2111.
[21] ZHANG Baocheng, TEUNISSEN P J G, YUAN Yunbin. On the short-term temporal variations of GNSS receiver differential phase biases[J]. Journal of Geodesy, 2017, 91(5):563-572.
[22] MI Xiaolong, ZHANG Baocheng, YUAN Yunbin. Multi-GNSS inter-system biases:estimability analysis and impact on RTK positioning[J]. GPS Solutions, 2019, 23(3):81-88.
[23] ODOLINSKI R, TEUNISSEN P J G, ODIJK D. Combined GPS+ BDS for short to long baseline RTK positioning[J]. Measurement Science and Technology, 2015, 26(4):045801.
[24] ODOLINSKI R, TEUNISSEN P J G, Odijk D. Combined BDS, Galileo, QZSS and GPS single-frequency RTK[J]. GPS solutions, 2015, 19(1):151-163.
[25] 张宝成, 袁运斌, 蒋振伟. 一种无须变换参考星的GNSS单基线卡尔曼滤波算法[J]. 测绘学报, 2015, 44(9):958-964. ZHANG Baocheng, YUAN Yunbin, JIANG Zhenwei. Kalman filter-based single-baseline GNSS data processing without pivot satellite changing[J].Acta Geodaetica et Cartographica Sinica,2015,44(9):958-964.
[26] GAO Yangjun, LÜ Zhiwei, ZHOU Pengjin, et al. Adaptive robust filtering algorithm for BDS medium and long baseline three carrier ambiguity resolution[J]. Journal of Geodesy and Geoinformation Science, 2020, 3(2):53-61.
[27] AMIRI-SIMKOOEI A R, JAZAERI S, ZANGENEH-NEJAD F, et al. Role of stochastic model on GPS integer ambiguity resolution success rate[J]. GPS solutions, 2016, 20(1):51-61.
[28] TEUNISSEN P J G. The least-squares ambiguity decorrelation adjustment:a method for fast GPS integer ambiguity estimation[J]. Journal of Geodesy,1995,70(1-2):65-82.
[29] TEUNISSEN P J G. Distributional theory for the DIA method[J]. Journal of geodesy, 2018, 92(1):59-80.
[30] NADARAJAH N, TEUNISSEN P J G, SLEEWAEGEN J M, et al. The mixed-receiver BeiDou inter-satellite-type bias and its impact on RTK positioning[J]. GPS Solutions, 2015, 19(3):357-368.

多频多模GNSS接收机差分相位偏差的短期时变特性

Characteristics of the short-term temporal variations of multi-constellation and multi-frequency GNSS receiver differential phase biases

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	谭述森, 张天桥. 当代GNSS的发展进步与转型构想[J]. 测绘学报, 2022, 51(7): 1114-1118.
[2]	何秀凤, 高壮, 肖儒雅, 罗海滨, 贾东振, 章浙涛. InSAR与北斗/GNSS综合方法监测地表形变研究现状与展望[J]. 测绘学报, 2022, 51(7): 1338-1355.
[3]	蔡洪亮, 孟轶男, 耿长江, 高为广, 张天桥, 李罡, 邵搏, 辛洁, 卢红洋, 毛悦, 袁海波, 刘成, 胡小工, 楼益栋. 北斗三号全球导航卫星系统服务性能评估:定位导航授时、星基增强、精密单点定位、短报文通信与国际搜救[J]. 测绘学报, 2021, 50(4): 427-435.
[4]	袁运斌, 李敏, 霍星亮, 李子申, 王宁波. 北斗三号全球导航卫星系统全球广播电离层延迟修正模型(BDGIM)应用性能评估[J]. 测绘学报, 2021, 50(4): 436-447.
[5]	邓远帆, 郭斐, 张小红, 刘万科. 北斗三号卫星多频多通道差分码偏差估计与分析[J]. 测绘学报, 2021, 50(4): 448-456.
[6]	毛飞宇, 龚晓鹏, 辜声峰, 王琛琛, 楼益栋. 北斗三号卫星导航信号接收机端伪距偏差建模与验证[J]. 测绘学报, 2021, 50(4): 457-465.
[7]	赵东升, 李旺, 李宸栋, 唐旭, 张克非. 1 Hz GNSS电离层相位闪烁因子提取及在北极区域的验证[J]. 测绘学报, 2021, 50(3): 368-383.
[8]	黎奇, 白征东, 陈波波, 过静珺, 辛浩浩, 程宇航, 黎琼, 吴斐. GNSS/INS多传感器组合高速铁路轨道测量系统[J]. 测绘学报, 2020, 49(5): 569-579.
[9]	张小红, 马福建. 低轨导航增强GNSS发展综述[J]. 测绘学报, 2019, 48(9): 1073-1087.
[10]	张绍成, 王鑫哲, 黄龙强, 殷飞. 电离层二阶项延迟对GPS动态精密单点定位的影响[J]. 测绘学报, 2018, 47(S0): 45-53.
[11]	姚宜斌, 刘磊, 孔建, 冯鑫滢. GIM和不同约束条件相结合的BDS差分码偏差估计[J]. 测绘学报, 2017, 46(2): 135-143.
[12]	张双成, 南阳, 李振宇, 张勤, 戴凯阳, 赵迎辉. GNSS-MR技术用于潮位变化监测分析[J]. 测绘学报, 2016, 45(9): 1042-1049.
[13]	邹文博, 张波, 洪学宝, 杨东凯, 崔兆韵. 利用北斗GEO卫星反射信号反演土壤湿度[J]. 测绘学报, 2016, 45(2): 199-204.
[14]	张宝成,欧吉坤,袁运斌,李子申. 利用非组合精密单点定位技术确定斜向电离层总电子含量和站星差分码偏差[J]. 测绘学报, 2011, 40(4): 0-441.
[15]	李博峰,沈云中. P范分布混合整数模型极大似然估计[J]. 测绘学报, 2010, 39(2): 0-145.