Application of a hybrid least squares algorithm in astronomical positioning

DOI

10.2991/fmsmt-17.2017.135How to use a DOI?

Keywords

Hybrid, squares algorithm, Astronomical positioning

Abstract

In order to reduce the digital zenith camera identify stars data that exist in the gross error influence on astronomical calculating, improve positioning accuracy. The mapping relation between the CCD image coordinate system and the celestial tangent plane coordinate system is established by using the robust weighted hybrid least squares algorithm. Using the least squares algorithm did not consider of the errors in the coefficient matrix and the data of the gross error. So the least squares algorithm and the total least squares algorithm are effectively combined to form the hybrid least squares algorithm. Then the hybrid least squares algorithm is used for robust weighting, reduced the identify stars possible gross error in the data, and reasonable weight matrix is set in conjunction with the magnitude. Experiments show that the robust weighted hybrid least squares algorithm has high accuracy in astronomical solution.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xihui Zhang
AU  - Zhaofa Zhou
AU  - Xianyi Liu
AU  - Wenyong ZHU
PY  - 2017/04
DA  - 2017/04
TI  - Application of a hybrid least squares algorithm in astronomical positioning
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 681
EP  - 685
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.135
DO  - 10.2991/fmsmt-17.2017.135
ID  - Zhang2017/04
ER  -