INS辅助的实时动态GNSS单频周跳探测

王凌轩, 甘雨, 隋立芬, 田源, 刘乾坤

王凌轩, 甘雨, 隋立芬, 田源, 刘乾坤. INS辅助的实时动态GNSS单频周跳探测[J]. 武汉大学学报 ( 信息科学版), 2019, 44(3): 364-370. DOI: 10.13203/j.whugis20160214
引用本文: 王凌轩, 甘雨, 隋立芬, 田源, 刘乾坤. INS辅助的实时动态GNSS单频周跳探测[J]. 武汉大学学报 ( 信息科学版), 2019, 44(3): 364-370. DOI: 10.13203/j.whugis20160214
WANG Lingxuan, GAN Yu, SUI Lifen, TIAN Yuan, LIU Qiankun. INS-Aided Single-Frequency Cycle-Slip Detection for Kinematic GNSS[J]. Geomatics and Information Science of Wuhan University, 2019, 44(3): 364-370. DOI: 10.13203/j.whugis20160214
Citation: WANG Lingxuan, GAN Yu, SUI Lifen, TIAN Yuan, LIU Qiankun. INS-Aided Single-Frequency Cycle-Slip Detection for Kinematic GNSS[J]. Geomatics and Information Science of Wuhan University, 2019, 44(3): 364-370. DOI: 10.13203/j.whugis20160214

INS辅助的实时动态GNSS单频周跳探测

基金项目: 

国家自然科学基金 41674016

国家自然科学基金 41874036

信息工程大学创新创优基金 XS201504

详细信息
    作者简介:

    王凌轩, 博士生, 主要从事GNSS/INS组合导航数据处理方法研究。geo_wlx@163.com

    通讯作者:

    隋立芬, 博士, 教授。suilifen@163.com

  • 中图分类号: P228

INS-Aided Single-Frequency Cycle-Slip Detection for Kinematic GNSS

Funds: 

The National Natural Science Foundation of China 41674016

The National Natural Science Foundation of China 41874036

the Innovative Foundation of Information Engineering University XS201504

More Information
    Author Bio:

    WANG Lingxuan, PhD candidate, specializes in data processing of GNSS/INS integrated navigation. E-mail:geo_wlx@163.com

    Corresponding author:

    SUI Lifen, PhD, professor. E-mail:suilifen@163.com

  • 摘要: 采用全球卫星导航系统(Global Navigation Satellite System,GNSS)模糊度固定解可提高GNSS/惯性导航系统(inertial navigation system,INS)组合导航定位精度,而在复杂环境下,单频GNSS难以实现完善的实时动态周跳探测,影响GNSS模糊度保持。研究了星间单差与站星双差的INS辅助GNSS单频周跳探测检验量,重点分析检验量的误差特性。分析得出检验量误差主要与INS增量误差有关,受接收机至待检星与参考星之间星地矢量夹角的影响。提出了选取两颗参考星并优选探测检验量的方法,降低方位角因素的影响,提高周跳探测性能。周跳探测的阈值在滑动窗口内估计,对INS误差被GNSS误差淹没的部分进行抑制,充分反映INS误差影响,阈值估计具有较强的自适应性。
    Abstract: Global Navigation Satellite System (GNSS) ambiguity fixed solution can greatly improve the accuracy of GNSS/inertial navigation system (INS) integrated system. But it is difficult to achieve perfect real-time dynamic single-frequency cycle-slip detection merely by GNSS observations especially in complex environment. Inertial aided cycle-slip detection term (DT) based on station-satellite double-differences and satellite single-difference observations are derived. The error characteristic of the DT is analyzed comprehensively. DT error is influenced by the error of INS positioning increment and this error of each satellite is related to the angle between its station-satellite vector and that vector of the base satellite. Thus, it is of importance to select base satellite. It is proposed that two group of DT can be used together by selecting two different base satellites. The threshold of detection is estimated in a moving window, where the DTs, whose INS error is submerged in GNSS error, are eliminated to reflect the effects of INS error. The threshold has strong self-adaptability.
  • 图  1   惯性辅助当前历元检验量

    Figure  1.   Inertial Aided Single-Epoch Detection Term

    图  2   惯性辅助历元差分检验量

    Figure  2.   Inertial Aided Time-Differenced Detection Term

    图  3   单差和双差检验量(PRN15)

    Figure  3.   Single Difference and Double Difference Detection Terms (PRN15)

    图  4   单差和双差检验量(PRN29)

    Figure  4.   Single Difference and Double Difference Detection Terms (PRN29)

    图  5   PRN2探测结果(参考星: PRN10)

    Figure  5.   Detection Results of PRN2 (Base PRN10)

    图  6   PRN15探测结果(参考星: PRN10)

    Figure  6.   Detection Results of PRN15 (Base PRN10)

    图  7   PRN29探测结果(参考星: PRN10)

    Figure  7.   Detection Results of PRN29 (Base PRN10)

    图  8   PRN15探测结果(参考星: PRN26)

    Figure  8.   Detection Results of PRN15 (Base PRN26)

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出版历程
  • 收稿日期:  2018-04-17
  • 发布日期:  2019-03-04

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