Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering

Recognition Effect Evaluation of Radar Signals Based on Fuzzy Comprehensive Evaluation

Authors
Jun Han, Yichun Pan, Bo-lin Cheng, Jing Wang
Corresponding Author
Jun Han
Available Online April 2016.
DOI
10.2991/icemie-16.2016.27How to use a DOI?
Keywords
radar emitter recognition; evaluation index; measurement of recognition rate; fuzzy comprehensive evaluation; evaluation
Abstract

The recognition of radar emitter signals (RES) is one of the key technologies in electronic countermeasures intelligence system, it’s a brand new subject to scientifically evaluate the recognition effect. In this paper fuzzy comprehensive evaluation method is introduced to build relevant evaluation model for the effect evaluation, computer simulation is done to evaluate three recognition methods at last. Simulation result validates that the evaluation model is effective and has certain application prospect.

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 International Conference on Electrical, Mechanical and Industrial Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/icemie-16.2016.27
ISSN
2352-5401
DOI
10.2991/icemie-16.2016.27How 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  - Jun Han
AU  - Yichun Pan
AU  - Bo-lin Cheng
AU  - Jing Wang
PY  - 2016/04
DA  - 2016/04
TI  - Recognition Effect Evaluation of Radar Signals Based on Fuzzy Comprehensive Evaluation
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 108
EP  - 112
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.27
DO  - 10.2991/icemie-16.2016.27
ID  - Han2016/04
ER  -