Acta Geodaetica et Cartographica Sinica >

2015 , Vol. 44 >Issue 5: 495 - 502

DOI: https://doi.org/10.11947/j.AGCS.2015.20140154

Parallel Robust Estimation for Large-scale High-precision GNSS Baseline Vector Network

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  • 1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China;
    2. Institute of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

Received date: 2014-03-28

  Revised date: 2014-07-09

  Online published: 2015-05-27

Supported by

The National Natural Science Foundation of China (No.41274015);The National High-tech Research and Development Program of China (863 Program) (No.2013AA122501)

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Abstract

According to the characteristics of large-scale GNSS baseline vector network, the relevant observations robust estimation model which is based on RECO scheme is improved by parallel computing. A feasible process steps are also presented. Using the improved model, a numerical example is given. It is demonstrated that the large-scale GNSS baseline vector related robust parallel estimation not only can inhibit the influence of the outliers to the parameter estimates, but also significantly improve the computational efficiency.

Key words： dependent robust estimation; GNSS; baseline vector network; equivalent weight matrix; parallel estimation

Cite this article

CUI Yang, LÜ Zhiping, ZHANG Youyang, LI Linyang . Parallel Robust Estimation for Large-scale High-precision GNSS Baseline Vector Network[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(5) : 495 -502 . DOI: 10.11947/j.AGCS.2015.20140154

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