Acta Geodaetica et Cartographica Sinica ›› 2019, Vol. 48 ›› Issue (1): 9-17.doi: 10.11947/j.AGCS.2019.20170367

• Geodesy and Navigation • Previous Articles     Next Articles

MHSS ARAIM algorithm combined with gross error detection

ZHANG Yabin1,2,3, WANG Li1,2,3, FAN Lihong1,2,3, QU Xuanyu1,2,3   

  1. 1. College of Geology Engineering and Geomantics, Chang'an University, Xi'an 710054, China;
    2. State Key Laboratory of Geographic Information Engineering, Xi'an 710054, China;
    3. National Administration of Surveying, Mapping and Geoinformation Engineering Research Center of Geographic National Conditions Monitoring, Xi'an 710054, China
  • Received:2017-07-05 Revised:2018-09-15 Online:2019-01-20 Published:2019-01-31
  • Supported by:

    The National Natural Science Foundation of China (Nos. 41304033;41504006;41604001);The Grand Projects of the BeiDou-2 System(No. GFZX0301040308);The Foundation of State Key Laboratory of Geo-information Engineering (No. SKLGIE2017-Z-2-1);The Fundamental Research Funds for the Central Universities(Nos. 310826172006;310826172202;310826173101)

Abstract:

Because there are some shortcomings in the current MHSS ARAIM algorithm, such as the weaker robustness, too many computational subsets and large amount of computation, a multiple hypothesis solution separation advanced receiver autonomous integrity monitoring (MHSS ARAIM) algorithm combined with gross error detection is proposed in this paper. With this new algorithm, the gross error detection method is used to identify and eliminate the gross data in the original data first. Then the MHSS ARAIM algorithm is used to deal with the data after the gross error detection. Therefore, this new algorithm can make up for the weakness of the MHSS ARAIM algorithm. Through the data processing and analysis from several IGS and international GNSS monitoring and assessment system (iGMAS) stations, the results show that this new algorithm is superior to MHSS ARAIM in the aviation phase of LPV-200 when it is used in the navigation with GPS and BDS. And under the assumption of a faulty satellite, accuracy of the effective monitoring threshold (EMT) is improved about 22.47% and 9.63%, and accuracy of the vertical protection level (VPL) is improved about 32.28% and 12.98%respectively for GPS and BDS observations respectively. Moreover,under the assumption of two faulty satellites, accuracy of the EMT is improved about 80.85% and 29.88%, and accuracy of the VPL is improved about 49.66% and 18.24% for GPS and BDS observations respectively.

Key words: gross error detection, ARAIM, fault detection and identification, MHSS ARAIM

CLC Number: