Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Integer ambiguity solution based on artificial swarm algorithm

Authors
Shugang Liu, Yajing Zhang
Corresponding Author
Shugang Liu
Available Online November 2016.
DOI
10.2991/icmia-16.2016.95How to use a DOI?
Keywords
integer ambiguity LAMBDA artificial fish algorithm
Abstract

One of the keys to precise position of using double difference carrier phase measure is to resolve integer ambiguity. Least-square ambiguity decorrelation adjustment(LAMBDA) is relatively fast and precise in integer ambiguity resolution of double difference carrier phase measurement. The LAMBDA consist of two aspects: decorrelation and search. In this paper, the artificial fish swarm algorithm(AF), a global optimization algorithm, will be used for search to obtain effective integer ambiguity. Simulation data are processed by the proposed algorithm using MATLAB and the results show that the integer ambiguity resolution method based on AFSA has high search efficiency and strong robustness.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-256-5
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.95How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Shugang Liu
AU  - Yajing Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Integer ambiguity solution based on artificial swarm algorithm
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.95
DO  - 10.2991/icmia-16.2016.95
ID  - Liu2016/11
ER  -