Integer ambiguity solution based on artificial swarm algorithm

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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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  -