CAI Chenglin, WANG Liangliang, LIU Changsheng, LI Gang, QIN Yi, DENG Honggao. The Cycle-Slip Detection and Repair of BDS Based on Improved TurboEdit Algorithm[J]. Geomatics and Information Science of Wuhan University, 2016, 41(12): 1632-1637. DOI: 10.13203/j.whugis20140602
Citation: CAI Chenglin, WANG Liangliang, LIU Changsheng, LI Gang, QIN Yi, DENG Honggao. The Cycle-Slip Detection and Repair of BDS Based on Improved TurboEdit Algorithm[J]. Geomatics and Information Science of Wuhan University, 2016, 41(12): 1632-1637. DOI: 10.13203/j.whugis20140602

The Cycle-Slip Detection and Repair of BDS Based on Improved TurboEdit Algorithm

Funds: 

The National Natural Science Foundation of China No. 61263028

The Open Fund of Key Laboratory of Time & Frequency Primary Standards, CAS No.Y000YR1S01

Natural Science Foundation of Guangxi Province Nos.2012GXNSFDA-053027, 2014GXNSFBA118280

Open Fund Project of Guangxi Broadband Wireless Communication and Signal Processing Laboratory Nos.GXKL0614107, GXKL0614108

Innovation Project of GUET Graduate Education No.GDYCSZ201452

More Information
  • Author Bio:

    CAI Chenglin,PhD, professor, specializes in satellite navigation and wireless communication. E-mail:chengcailin@126.com

  • Corresponding author:

    WANG Liangliang, postgraduate. E-mail:liangliangwang_nx@163.com

  • Received Date: June 01, 2015
  • Published Date: December 04, 2016
  • An improved TurboEdit Algorithm for BDS is analyzed and validated based on the characteristics of BDS with three types of satellites. A fixed window sliding method is used instead of the original recursive method for detecting cycle slips with M-W combination observations. The original ionosphere residual combination detection method is improved by including the adjacent epoch differential method for double-frequency ionosphere residuals, the detection parameters can be selected for GEO/IGSO/MEO satellites. During actual data processing, the improved algorithm is more stable and yields more accurate detection results than the original algorithm, especially in detection of small cycle slips. Also, the improved algorithm can effectively compensate for the original algorithm that does not easily detect small cycle-slips. Experimental results show that the improved algorithm can effectively detect all kinds of cycle slips such as equal-cycle, small cycle slips and big cycle slips. The repair precision can reach the 0.1 cycle.
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