Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Parallel Fringe Search Algorithm for VLBI Software Correlator Based on Computer Cluster

Authors
Yun Yu, Wei-Min Zheng, Ping Rui, Juan Zhang, Feng-Xian Tong, Yong-Biao Shi
Corresponding Author
Yun Yu
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.4How to use a DOI?
Keywords
VLBI; correlator; fringe search; MPI; lunar exploration
Abstract
The Chinese VLBI Network correlator has been successfully adopted in the China's lunar exploration project for probe tracking. However, due to the probe orbit maneuver, sometimes the error of the predicted VLBI time delay can be quite large. The correlator fringe search module needs new methods to tackle the multi-processors environment parallel problem and to keep the real-time ability. This paper presents a high-speed parallel fringe search algorithm for the VLBI software correlator working on the cutting-edge computer cluster. Guided by the fringe search module, CVN software correlator accomplished the real-time data correlation and supported the first Chinese lunar surface soft landing in CE-3 mission.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/ceis-16.2016.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yun Yu
AU  - Wei-Min Zheng
AU  - Ping Rui
AU  - Juan Zhang
AU  - Feng-Xian Tong
AU  - Yong-Biao Shi
PY  - 2016/11
DA  - 2016/11
TI  - Parallel Fringe Search Algorithm for VLBI Software Correlator Based on Computer Cluster
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.4
DO  - https://doi.org/10.2991/ceis-16.2016.4
ID  - Yu2016/11
ER  -