测绘通报 ›› 2018, Vol. 0 ›› Issue (8): 37-40,46.doi: 10.13474/j.cnki.11-2246.2018.0241

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Multiple Solutions of Distance Equations and Nonlinear Least Squares Iterative Algorithms

QI Ke1,2, QU Guoqing1, XUE Shuqiang2, LIU Yixu1, YANG Wenlong1, HAN Deqiang2   

  1. 1. Shandong University of Technology, Zibo 255049, China;
    2. Chinese Academy of Surveying and Mapping, Beijing 100830, China
  • Received:2017-11-27 Revised:2018-01-09 Online:2018-08-25 Published:2018-08-30

Abstract: Distance observations play a very key role in surveying,of which the related observation model is nonlinear.Because of the complexity of nonlinear problems,observation equations may have a non-unique solution,particularly when the equation is ill-conditioned,the solutions of the equation may become more complex.In view of this problem,the paper uses the direct method and Gauss-Newton method and closed-form of Newton method to solve ill-conditioning,testing the their performances and local convergence of three methods.The result shows that the closed-form of Newton method has the best local convergence.In the experiment,the direct method and Gauss-Newton method can get two solutions,while the closed-form of Newton method can get three solutions two of which are the same with the solutions of direct method and Gauss-Newton method,but,the search total solutions are the best local optimum.

Key words: distance observation, non-linear models, multiple solutions, iterative method

CLC Number: