BDS/GPS融合定位中系统偏差补偿模型及其性能分析

曾安敏, 杨元喜, 景一帆, 明锋

曾安敏, 杨元喜, 景一帆, 明锋. BDS/GPS融合定位中系统偏差补偿模型及其性能分析[J]. 武汉大学学报 ( 信息科学版), 2017, 42(10): 1423-1430. DOI: 10.13203/j.whugis20150808
引用本文: 曾安敏, 杨元喜, 景一帆, 明锋. BDS/GPS融合定位中系统偏差补偿模型及其性能分析[J]. 武汉大学学报 ( 信息科学版), 2017, 42(10): 1423-1430. DOI: 10.13203/j.whugis20150808
ZENG Anmin, YANG Yuanxi, JING Yifan, MING Feng. Systematic Bias Compensation Model of Inter-system Bias and Its Performance Analysis for BDS/GPS Fusion Positioning[J]. Geomatics and Information Science of Wuhan University, 2017, 42(10): 1423-1430. DOI: 10.13203/j.whugis20150808
Citation: ZENG Anmin, YANG Yuanxi, JING Yifan, MING Feng. Systematic Bias Compensation Model of Inter-system Bias and Its Performance Analysis for BDS/GPS Fusion Positioning[J]. Geomatics and Information Science of Wuhan University, 2017, 42(10): 1423-1430. DOI: 10.13203/j.whugis20150808

BDS/GPS融合定位中系统偏差补偿模型及其性能分析

基金项目: 

国家重点基础研究发展规划计划 2016YFB0501700

国家自然科学基金 41474015

国家自然科学基金 41374019

国家自然科学基金 41374003

国家自然科学基金 41274040

详细信息
    作者简介:

    曾安敏, 博士生, 副研究员, 主要从事动态大地测量以及坐标框架数据处理研究.Zeng_anmin@163.com

  • 中图分类号: P228.41

Systematic Bias Compensation Model of Inter-system Bias and Its Performance Analysis for BDS/GPS Fusion Positioning

Funds: 

The National Program on Key Basic Research Project 2016YFB0501700

the National Natural Science Foundation of China 41474015

the National Natural Science Foundation of China 41374019

the National Natural Science Foundation of China 41374003

the National Natural Science Foundation of China 41274040

More Information
    Author Bio:

    ZENG Anmin, PhD candidate, assistant researcher, specilizes in data processing for dynamic geodetic measurement and terrestrid reference frame. E-mail: Zeng_anmin@163.com

  • 摘要: 多系统的融合定位可有效提高用户导航定位的连续性、可靠性及定位精度。针对BDS、GPS观测量间存在系统间偏差的实际情况,建立了顾及系统误差的BDS/GPS融合定位模型,即在函数模型中增加附加参数来吸收系统间偏差,构造了新的顾及先验信息的融合定位模型,分析了这种新融合模型的特点及其对定位结果的影响。利用不同品牌接收机在中国不同地域对新的融合模型进行试验,试验结果表明:BDS、GPS观测量存在系统间偏差,且不同接收机的系统间偏差量值并不一样;增加系统参数的融合定位模型能较好地吸收BDS、GPS观测量的系统间偏差的影响,改善其融合导航定位性能;在观测卫星数不足、单系统不能定位的情况下,考虑先验信息的融合定位模型仍能获得较好的定位结果。
    Abstract: Navigation users will significantly benefit from BDS and GPS positioning fusion in terms of availability, accuracy and reliability. However, for single point positioning, systematic biases between multi-GNSS systems cannot be eliminated completely, thus the accuracy of positioning and navigation is not always improved with the un-difference measurements of multi-GNSS systems. In this paper, an integrated BDS/GPS positioning model with unknown systematic parameters that compensates for systematic bias is proposed. Furthermore, a Bayesian estimation of fusion positioning model is specifically investigated in which the priori information of the additional parameters is taken into account. Real data collected from different areas with different types of receivers are used to verify those new algorithms. The results show that (a) receiver-dependent inter-system biases are quite evident, while the size of the system bias varies with the receiver type; (b) the precision of fusion positioning is improved significantly by introducing additional parameters into the functional model; and (c) Bayesian estimation of fusion positioning model can still obtain ideal position solution when the number of visible satellites is not enough.
  • 图  1   不同测站(仪器)系统参数

    Figure  1.   Inter-System Bias of the Different Stations or Different Type Receivers

    图  2   天津站GPS/BDS的DOP值

    Figure  2.   DOP Values of Different Schemes

    图  3   可见卫星有限条件下GPS/BDS融合定位结果与参考值的位置差

    Figure  3.   Positioning Discrepancies Using GPS/BDS Fusion Model with Limited Satellite Visibility

    表  1   不同测站(仪器)系统间偏差的精度统计

    Table  1   Statistics of Estimated Inter-system Bias in Different Stations with Different Type Receivers

    测站 站号 仪器 天气 系统间偏差/ns
    2014-08-14 2014-08-15 2014-08-16
    三亚 C Trimble R9 99.33±2.17 98.14±3.06 97.60±2.99
    桂林 D Trimble R9 阴转雨 110.24±3.26 108.76±4.038 105.05±3.12
    宜昌 E UR370-CORS 夜雨 26.13±3.17 28.96±7.09 28.96±7.09
    呼和浩特 F HC N71 24.39±5.04 18.85±4.69 20.47±5.41
    乌兰浩特 G M300U 暴雨 25.53±3.31 21.37±4.99 22.64±5.65
    下载: 导出CSV

    表  2   单系统定位精度统计/m

    Table  2   Statistical Results of Estimated Position by Using GPS or BDS/m

    测站 GPS BDS
    N E U N E U
    三亚 ±1.06 ±1.37 ±3.09 ±1.39 ±1.22 ±3.78
    桂林 ±1.06 ±1.28 ±2.88 ±1.53 ±1.31 ±4.15
    宜昌 ±1.82 ±1.78 ±4.02 ±1.59 ±1.96 ±4.57
    呼和浩特 ±1.62 ±1.55 ±2.83 ±2.28 ±1.45 ±3.52
    乌兰浩特 ±1.51 ±1.69 ±2.71 ±2.87 ±2.04 ±4.17
    天津 ±2.56 ±2.23 ±4.22 ±2.87 ±1.44 ±6.72
    下载: 导出CSV

    表  3   考虑系统间偏差前后的融合定位结果精度统计/m

    Table  3   Statistical Results of Different Schemes/m

    测站 GPS BDS
    N E U N E U
    三亚 ±2.86 ±3.52 ±12.05 ±0.69 ±0.94 ±2.09
    桂林 ±3.14 ±3.47 ±12.02 ±0.69 ±0.87 ±2.04
    宜昌 ±1.60 ±2.41 ±5.20 ±1.46 ±2.36 ±4.50
    呼和浩特 ±1.27 ±1.26 ±3.07 ±1.07 ±1.1 ±1.90
    乌兰浩特 ±1.46 ±1.48 ±3.35 ±1.04 ±1.19 ±1.88
    天津 ±48.87 ±69.90 ±151.72 ±1.44 ±1.44 ±3.83
    下载: 导出CSV

    表  4   系统间偏差不同约束的融合定位结果精度统计/m

    Table  4   Statistical Results of Different Constraints/m

    测站 先验约束为0.1 ns 先验约束为3 ns
    N E U N E U
    三亚 ±0.70 ±0.96 ±1.89 ±0.69 ±0.94 ±2.05
    桂林 ±0.74 ±0.96 ±1.96 ±0.69 ±0.88 ±2.02
    宜昌 ±1.43 ±2.43 ±3.87 ±1.43 ±2.37 ±4.40
    呼和浩特 ±0.99 ±1.13 ±1.91 ±1.02 ±1.10 ±1.89
    乌兰浩特 ±1.11 ±1.25 ±1.95 ±1.01 ±1.19 ±1.87
    天津 ±1.38 ±1.37 ±3.40 ±1.54 ±1.44 ±3.39
    下载: 导出CSV

    表  5   可见卫星有限条件下GPS/BDS融合定位结果精度统计/m

    Table  5   Statistical Results of BDS/GPS Fusion Positioning with Limited Satellite Visibility/m

    卫星数 N E U
    均值 标准值 均方根 均值 标准值 均方根 均值 标准值 均方根
    6颗 估计 9.50 ±8.24 12.57 -11.07 ±1.95 11.24 -2.01 ±6.54 6.83
    强约束 8.31 ±2.99 8.82 -4.48 ±1.84 4.84 -10.09 ±6.67 12.07
    松约束 4.27 ±2.83 5.12 -6.11 ±1.67 6.33 -8.16 ±6.52 10.44
    5颗 估计 1.08 ±18.73 18.73 -8.46 ±4.32 9.50 -8.91 ±13.06 15.79
    强约束 13.21 ±4.07 13.83 -4.10 ±1.89 4.52 -15.82 ±8.05 17.74
    松约束 10.86 ±4.76 11.85 -5.10 ±1.81 5.41 14.46 -±8.23 16.63
    下载: 导出CSV
  • [1] 杨元喜.北斗卫星导航系统的进展、贡献与挑战[J].测绘学报, 2010, 39(1):1-6 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201001003.htm

    Yang Yuanxi. Progress, Contribution and Challenges of Compass/Beidou Satellite NavigationSystem[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(1):1-6 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201001003.htm

    [2]

    National Imagery and Mapping. Department of Defense World Geodetic System 1984[S]. NIMA TR8350.2, Third edition, 1997

    [3] 中国卫星导航系统管理办公室. 北斗卫星导航系统发展报告(2. 0版)[R]. 2012年5月

    China Satellite Navigation Office. Report on the Development of BeiDou Navigation Satellite System (Version 2.0)[R].May 2012(Ch)

    [4] 蔡昌盛, 李征航, 张小红. GPS系统硬件延迟修正方法的探讨[J].测绘通报, 2002(4):15-16 http://www.cnki.com.cn/Article/CJFDTOTAL-CHTB200204006.htm

    Cai Changsheng, Li Zhenghang, Zhang Xiaohong. A Study of Calibration method of GPS Satellite and Receiver Instrumental Biases[J]. Bulletin of Surveying and Mapping, 2002(4):15-16 http://www.cnki.com.cn/Article/CJFDTOTAL-CHTB200204006.htm

    [5]

    Yang Yuanxi, Li Jinlong, Xu Junyi, et al. Generalized DOPs with Consideration of the Influence Function of Signal-in-Space Errors[J]. The Journal of Navigation, 2011, 64: 3-18 doi: 10.1017/S0373463311000415

    [6] 高星伟, 过静珺, 程鹏飞, 等.基于时空系统统一的北斗与GPS融合定位[J].测绘学报, 2012, 41(5):743-758, 755 http://youxian.cnki.com.cn/yxdetail.aspx?filename=WHCH201710013&dbname=CJFDPREP

    Gao Xinwei, Guo Jinjun, Chen Pengfei, et al. Fusion Positioning of BeiDou/GPS Based on Spatio-Temporal System Unification[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(5):743-748, 755 http://youxian.cnki.com.cn/yxdetail.aspx?filename=WHCH201710013&dbname=CJFDPREP

    [7] 王世进, 秘金钟, 李得海, 等. GPS/BDS的RTK定位算法研究[J].武汉大学学报·信息科学版, 2014, 39(5): 621-625 http://ch.whu.edu.cn/CN/abstract/abstract2980.shtml

    Wang Shijin, Bei Jinzhong, Li Dehai, et al. Real-Time Kinematic Positioning Algorithm of GPS/BDS[J]. Geomantics and Information Science of Wuhan University, 2014, 39(5):621-625 http://ch.whu.edu.cn/CN/abstract/abstract2980.shtml

    [8]

    He Haibo, Li Jinlong, Yang Yuanxi, et al. Performance Assessment of Single-and Dual-frequency BeiDou/GPS Single-epoch Kinematic Positioning[J]. GPS Solution, 2014, 18(3):393-403 doi: 10.1007/s10291-013-0339-3

    [9] 李金龙. 北斗/GPS多频实时精密定位理论与算法[D]. 郑州: 信息工程大学, 2014 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=chxb201511020&dbname=CJFD&dbcode=CJFQ

    Li Jinlong. BDS/GPS Multi-frequency Real-Time Kinematic Positioning Theory and Algorithms[D]. Zhengzhou: Information Engineering University, 2014 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=chxb201511020&dbname=CJFD&dbcode=CJFQ

    [10]

    Guo Hairong, He Haibo, Li Jinlong, et al. Estimation and Mitigation of the Main Errors for Centimetre-level Compass RTK Solutions over Medium-long Baselines[J]. The Journal of Navigation, 2011, 64, S113-S126 doi: 10.1017/S0373463311000324

    [11]

    Jin Yifan, Zeng Anmin. Fusion Positioning of BDS/GPS Based on Variance Component Estimation and Its Application for Geodetic Control Network[C]. Lecture Note in Electrical Engineering, V1, Springer, 2014

    [12] 高星伟, 葛茂荣. GPS/GLONASS单点定位的数据处理[J].测绘通报, 1999(4):8-9, 13 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXG201506011.htm

    Gao Xingwei, Ge Maorong. Data Processing for Pseudo-range Positioning of GPS/GLONASS[J]. Bulletin of Surveying and Mapping, 1999(4):8-9, 13 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXG201506011.htm

    [13]

    Cai C, Gao Y. A Combined GPS/GLONASS Navigation Algorithm for use with Limited Satellite Visibility[J]. The Journal of Navigation, 2009(62): 671-685 doi: 10.1017/S0373463309990154

    [14]

    Angrisano A, Gaglione S, Gioia C. Performance Assessment of GPS/GLONASS Single Point Positioning in an Urban Environment[J]. Acta Geod Geophys, 2013(48): 149-161 http://real.mtak.hu/50059/

    [15]

    Montenbruck O, Hauschild A, Hessels U Characterization of GPS/GIOVE Sensor Stations in the CONGO Network[J]. GPS Solutions, 2011, 15:193-205 doi: 10.1007/s10291-010-0182-8

    [16] 杨元喜, 曾安敏.大地测量数据融合模式及其分析[J].武汉大学学报·信息科学版, 2008, 33(8):1-4 http://ch.whu.edu.cn/CN/abstract/abstract1674.shtml

    Yang Yuanxi, Zeng Anmin. Fusion Modes of Various Geodetic Observations and Their Analysis[J]. Geo-matics and Information Science of Wuhan University, 2008, 33(8):1-4 http://ch.whu.edu.cn/CN/abstract/abstract1674.shtml

    [17] 杨元喜, 李金龙, 徐君毅, 等.中国北斗卫星导航系统对全球PNT用户的贡献[J].科学通报, 2011, 56(21):1734-1740 http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201121009.htm

    Yang Yuanxi, Li Jinlong, Xu Junyi, et al. Contribution of the COMPASS Satellite Navigation System to Global PNT Users[J]. Chin Sci Bull, 2011, 56(21):1734-1740 http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201121009.htm

    [18] 程鹏飞, 文汉江, 成英燕, 等.2000国家大地坐标系椭球参数与GRS80和WGS84的比较[J].测绘学报, 2009, 38(3):189-194 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200903000.htm

    Cheng Pengfei, Wen Hanjiang, Cheng Yingyan, et al. Para Meters of the CGCS2000 Ellipsoid and Comparisons with GRS80 and WGS84[J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(3):189-194 http://www.cnki.com.cn/Article/CJFDTOTAL-CHXB200903000.htm

    [19]

    Koch K R. Bayesian Inference with Geodetic Applications[M]. Heidelberg: Springer, 1990

    [20]

    Zeng Anmin, Yang Yuanxi, Ming Feng, et al. BDS-GPS Inter-system Bias of Code Observation and Its Preliminary Analysis[J]. GPS Solutions, DOI: 10.1007/S10291-017-0636-3

  • 期刊类型引用(11)

    1. 赵涛,叶世榕,罗歆琪,夏朋飞. GNSS-IR潮位反演中高仰角数据质量控制方法. 武汉大学学报(信息科学版). 2024(01): 68-76 . 百度学术
    2. 肖倩雨,周春霞,刘勇. 利用改进的亮温日较差法探测格陵兰冰盖表面融化. 武汉大学学报(信息科学版). 2024(10): 1931-1939 . 百度学术
    3. 李荣兴,何美茜,葛绍仓,程远,安璐. 东南极历史冰流速过估改正. 武汉大学学报(信息科学版). 2023(10): 1661-1669 . 百度学术
    4. 张冕,张春灌,赵敏,钟振华,袁炳强,周磊,韩梅. 地球磁异常EMAG2v3与全球重力数据库V29数据质量综合评估——以北极地区Aegir脊为例. 物探与化探. 2023(06): 1410-1416 . 百度学术
    5. 张金辉,李姗姗,杨光,范雕,凌晴. 联合CTD、海底地形和ARGO数据构建北太平洋深海时变温度模型. 测绘通报. 2023(12): 94-101+126 . 百度学术
    6. 徐天河,穆大鹏,闫昊明,郭金运,尹鹏. 近20年海平面变化成因研究进展及挑战. 测绘学报. 2022(07): 1294-1305 . 百度学术
    7. 徐天河,杨元元,穆大鹏,尹鹏. 近海海平面变化成因分析. 武汉大学学报(信息科学版). 2022(10): 1750-1757 . 百度学术
    8. 陈旭升,张云龙,张冠军. 优化局部均值分解在趋势信息提取中的应用. 测绘科学. 2022(11): 32-39 . 百度学术
    9. 房婷婷,付广裕. 卫星重力与地球重力场的文献计量分析. 地球科学进展. 2021(05): 543-552 . 百度学术
    10. 冯哲颖,岳林蔚,沈焕锋. 基于多源水文数据融合的GRACE水储量精度校正. 遥感技术与应用. 2021(03): 605-617 . 百度学术
    11. 刘冰石,邹贤才. ENSO影响下的西太平洋地区海陆水储量变化分析. 武汉大学学报(信息科学版). 2019(09): 1296-1303 . 百度学术

    其他类型引用(11)

图(3)  /  表(5)
计量
  • 文章访问数:  1983
  • HTML全文浏览量:  222
  • PDF下载量:  395
  • 被引次数: 22
出版历程
  • 收稿日期:  2015-12-30
  • 发布日期:  2017-10-04

目录

    /

    返回文章
    返回