Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

Research on Radar Jamming Evaluation Method Based on BP Neural Network

Authors
Song Zhang, Ye-rong Tao, Ya-xin Zhao, Yuan-zheng Chen
Corresponding Author
Ye-rong Tao
Available Online July 2019.
DOI
https://doi.org/10.2991/eee-19.2019.48How to use a DOI?
Keywords
Radar, Interference effect, BP neural network, Evaluation method
Abstract
The radar interference effect evaluation method is a research hotspot in the field of radar countermeasures. In a complex battlefield environment, the assessment of interference effects by a single indicator usually does not reflect the actual state of the battlefield. Aiming at the complexity of radar interference evaluation on modern battlefields, this paper combines the effects of suppressive interference evaluation and deceptive interference, and uses neural network method to evaluate the composite interference effect. Firstly, the related knowledge of neural network and BP neural network is introduced. Then an interference effect evaluation model based on BP neural network is established. Finally, the simulation model is used for simulation analysis.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
Part of series
Advances in Engineering Research
Publication Date
July 2019
ISBN
978-94-6252-754-6
ISSN
2352-5401
DOI
https://doi.org/10.2991/eee-19.2019.48How 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  - Song Zhang
AU  - Ye-rong Tao
AU  - Ya-xin Zhao
AU  - Yuan-zheng Chen
PY  - 2019/07
DA  - 2019/07
TI  - Research on Radar Jamming Evaluation Method Based on BP Neural Network
BT  - 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
PB  - Atlantis Press
SP  - 300
EP  - 305
SN  - 2352-5401
UR  - https://doi.org/10.2991/eee-19.2019.48
DO  - https://doi.org/10.2991/eee-19.2019.48
ID  - Zhang2019/07
ER  -