Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (3): 297-301.doi: 10.11947/j.AGCS.2016.20150234

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Solution for Robust Total Least Squares Estimation Based on Median Method

TAO Yeqing1, GAO Jingxiang2, YAO Yifei2   

  1. 1. Department of Geomatic Engineering, Huaihai Institute of Technology, Lianyungang 222005, China;
    2. School of Environment Science and Spatial Informatics, China University of Mining & Technology, Xuzhou 221008, China
  • Received:2015-05-05 Revised:2015-11-19 Online:2016-03-20 Published:2016-03-25
  • Supported by:
    The National Natural Science Foundation of China(No.41074010);Public Science and Technology Research Funds Projects of Ocean(No.201105004);Science Foundation of Huaihai Institute of Technology(No.Z2015006)

Abstract: Because the present algorithms of total least squares for robust estimation have disadvantages, solution for computation primary model parameters based on median method is proposed. And to get over the influence that estimation error of random model and error of mean square has, computation weight matrix of observation vector and coefficient matrix separately are proposed. Iterative algorithm of robust total least squares is established based on median method, and to prove the proposed solution to be feasible, an instance is cited. The numerical results of the instance clearly demonstrate that the presented solution is more accurate than the traditional method for line fitting.

Key words: total least squares, robust estimation, median method

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