测绘学报 ›› 2018, Vol. 47 ›› Issue (S0): 38-44.doi: 10.11947/j.AGCS.2018.20180314

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BDS三频GIF组合非显著周跳探测与修复

张晨晰1,2, 党亚民2, 薛树强2, 张龙平3   

  1. 1. 山东科技大学, 山东 青岛 266510;
    2. 中国测绘科学研究院, 北京 100083;
    3. 北京航天宏图信息技术股份有限公司, 北京 100195
  • 收稿日期:2018-06-29 修回日期:2018-08-17 出版日期:2018-12-31 发布日期:2019-05-18
  • 作者简介:张晨晰(1983-),女,博士,研究方向为卫星精密定位。E-mail:kdzhangchenxi@126.com
  • 基金资助:
    国家自然科学基金(41674014)

Detection and Repair of the Non-significant Cycle Slip in BDS Triple-frequencies GIF Combination

ZHANG Chenxi1,2, DANG Yamin2, XUE Shuqiang2, ZHANG Longping3   

  1. 1. Shandong University of Science and Technology, Qingdao 266510, China;
    2. Chinese Academy of Surveying & Mapping, Beijing 100083, China;
    3. Beijing Piesat Information Technology Company, Beijing 100195, China
  • Received:2018-06-29 Revised:2018-08-17 Online:2018-12-31 Published:2019-05-18
  • Supported by:
    The National Natural Science Foundation of China (No. 41674014)

摘要: GNSS周跳探测与修复的准确性受复杂观测环境影响。本文针对BDS三频无几何无电离层(geometry and ionosphere free,GIF)组合不敏感周跳组合及周跳漏检问题,提出了进一步附加2个历元间二次差的电离层残差组合(second-order time-difference phase ionospheric residual,STPIR)对GIF修复观测进行周跳检验。在磁暴发生期间BDS实测数据的周跳探测和修复结果表明,该方法能够探测与修复BDS非差观测值中所有可能发生的周跳组合。

关键词: BDS, 周跳探测, 三频GIF组合, 不敏感周跳

Abstract: The accuracy of BDS triple-frequency cycle slip detection and repair is influenced by the observation environment. Three linear independence geometry-free and ionosphere-free combinations (GIF) have been widely applied detect and then to repair the GNSS cycle-slip, but for some special cycle-slip combinations or when observations with bad observation environment, the cycle-slip repair may be invalidated. For this, we further introduce the STPIR combination to the GIF model to detect and repair the cycle-slip, and use the second-order time-difference of the STPIR to further reduce the influence of the observational noise. The proposed method was applied to detect cycle slips in BDS observations during a magnetic storm. It shows that the proposed method can be used to detect and repair all possible cycle-slip combinations of BDS un-differenced observations.

Key words: BDS, cycle slip detection, triple frequency GIF combination, insensitive cycle slip

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