6th International ICST Conference on Communications and Networking in China

Research Article

Range Distance Compensation Algorithm for Assisted GNSS Positioning

  • @INPROCEEDINGS{10.1109/ChinaCom.2011.6158185,
        author={Guanghua Zhang and Weixiao Meng and Jingqiu Ren and Yuwei Shi},
        title={Range Distance Compensation Algorithm for Assisted GNSS Positioning},
        proceedings={6th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={3},
        keywords={agnss distance compensation positioning base station},
        doi={10.1109/ChinaCom.2011.6158185}
    }
    
  • Guanghua Zhang
    Weixiao Meng
    Jingqiu Ren
    Yuwei Shi
    Year: 2012
    Range Distance Compensation Algorithm for Assisted GNSS Positioning
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2011.6158185
Guanghua Zhang1,*, Weixiao Meng1, Jingqiu Ren2, Yuwei Shi1
  • 1: Communication Research Center, Harbin Institute of Technology
  • 2: School of Electric Information Engineering, Northeast Petroleum University
*Contact email: dqzgh@nepu.edu.cn

Abstract

In this paper a positioning algorithm based on range distance compensation is proposed for the condition of only three visible satellites, making User Equipment (UE) get location information more effective when the quantity of satellites acquired can’t satisfy solving condition. Using the structure of Assisted Global Navigation Satellite System (AGNSS) positioning system, UE is guaranteed to acquire navigation information of the three visible satellites rapidly, and with the compensation of range distances between UE and two adjacent base stations, which is obtained from the auxiliary services, the three visible satellites’ data constructs a full-rank equation set to achieve positioning. By analyzing positioning results and accuracy, it is indicated that the confidence of this method’s positioning error, according to 3GPP request of assisted satellite navigation accuracy error within 50m, reaches 94.56%. The validity of this algorithm is demonstrated, and a novel methodology for researching in AGNSS positioning performance enhancement is proposed.