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

Object Integrated Recognition of X Band Ground-based Multi-function Radar Based on GRG

Authors
Shihua Liu, Lei Zhang
Corresponding Author
Shihua Liu
Available Online November 2016.
DOI
https://doi.org/10.2991/icmia-16.2016.143How to use a DOI?
Keywords
object integrated recognition, X band, multi-function radar, gray relation grade(GRG), effectiveness evaluation
Abstract

According to the integrated recognition problem of the object recognition in the X band ground-based multi-function radar, an object integrated recognition scheme based on GRG is presented. In this method, the multi-factor statistics and analysis method in the radar effectiveness evaluation. This method is a simply algorithm, it has high credibility and real-time characteristic. The effectiveness of this method is confirmed by the simulation and analysis.

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
https://doi.org/10.2991/icmia-16.2016.143How 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  - Shihua Liu
AU  - Lei Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Object Integrated Recognition of X Band Ground-based Multi-function Radar Based on GRG
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-16.2016.143
DO  - https://doi.org/10.2991/icmia-16.2016.143
ID  - Liu2016/11
ER  -