Acta Geodaetica et Cartographica Sinica ›› 2018, Vol. 47 ›› Issue (1): 17-24.doi: 10.11947/j.AGCS.2018.20170227

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A Modified SEVB Integer Ambiguity Search Algorithm

LIU Wanke1,2,3, MA Liye1, LU Liguo4, LI Jianlong1   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. Collaborative Innovation Centre for Geospatial Technology, Wuhan 430079, China;
    3. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan 430079, China;
    4. Faculty of Geomatics, East China University of Technology, Nanchang 330013, China
  • Received:2017-05-02 Revised:2017-10-17 Online:2018-01-20 Published:2018-02-05
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41774031;91638203;41374007;41464001);The Natural Science Foundation for Distinguished Young Scholar of Hubei Province (No. 2015CFA039);Jiangxi Natural Science Foundation of China (No. 2017BAB203032)

Abstract: A modified integer ambiguity search algorithm named MSEVB is proposed to overcome the disadvantage that SEVB algorithm is time-consuming under low float ambiguity precision.The proposed algorithm,by restricting initial search space and optimizing the calculation procedure,can effectively reduce the number of ambiguity candidates and redundant computation,so that the search efficiency is improved significantly.The experiment results indicate that MSEVB algorithm has significant improvement in search efficiency,compared with SEVB algorithm,when the precision of ambiguity resolution is low.Moreover,MSEVB algorithm is more insensitive to ambiguity dimension and precision,thus it has better performance in stability.

Key words: ambiguity resolution, integer search, SEVB algorithm, Bootstrap success rate, search efficiency

CLC Number: