Acta Geodaetica et Cartographica Sinica ›› 2019, Vol. 48 ›› Issue (1): 117-123.doi: 10.11947/j.AGCS.2019.20180187

• Marine Survey • Previous Articles     Next Articles

Semi-parametric adjustment model methods for positioning of seafloor control point

SUN Wenzhou1, YIN Xiaodong1, BAO Jingyang2, ZENG Anmin3   

  1. 1. Department of Military Oceanography and Hydrography and Cartography, Dalian Naval Academy, Dalian 116018, China;
    2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    3. State Key Laboratory of Geo-information Engineering, Xi'an 710054, China
  • Received:2018-04-27 Revised:2018-09-10 Online:2019-01-20 Published:2019-01-31
  • Supported by:

    The National Key Research and Development Program of China(No. 2016YFB0501701);The National High-tech Research and Development Program of China (No. 2013AA122501);The National Natural Science Foundation of China (Nos. 41474015;41874016)

Abstract:

This paper focuses on solving the problem of seafloor control point absolute positioning with low vertical accuracy based on the survey ship sailing circle. The method of dealing with the systematic error based on semi-parametric adjustment model was proposed. Firstly, the influence of sound speed change on ranging error is analyzed. Secondly, a semi-parametric adjustment model for determining three-dimensional coordinates of underwater control points was established. And respectively proposed solutions under two different conditions, the observation duration is an integral multiple or non-integer multiple of the long-period term of the ranging error. Simulation experiment results show that this method can obviously improve the accuracy of vertical solution of seafloor control point compared with difference technique and least square method when internal waves exist and observation duration is less than an integer multiple of the long-period term of the ranging error.

Key words: semi-parametric adjustment model, sailing circle, positioning of seafloor control point, intersection positioning model, systematic ranging error

CLC Number: