An Optimization Method for Radar Anti-Jamming Strategy via Key Time Nodes

Author:

Feng Cheng1ORCID,Fu Xiongjun12,Dong Jian1,Zhao Zhichun1,Yu Jiyang3,Pan Teng3

Affiliation:

1. School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China

2. Tangshan Research Institute of BIT, Tangshan 063007, China

3. Beijing Institute of Space Systems Engineering, Beijing 100094, China

Abstract

This paper proposes an optimization method to improve the radar anti-jamming strategy by using the predictability of left game interval. Firstly, we propose the concept of key time nodes in radar/jammer confrontation and analyze its predictability. Secondly, we analyze the radar-winning scenarios by considering the temporal constraints and construct the actual utility matrix of the radar. Then, we describe the optimization algorithm using radar-winning probability statistics based on the prediction of left game interval. Finally, we carry out a simulation experiment by comparing it with other anti-jamming strategies to verify the rationality, and the result shows that the proposed method can significantly improve the radar’s winning probability in the confrontation. By using the proposed anti-jamming strategy optimization method just at the key time nodes, the imperceptibility from the jammer is improved, and its long-term superiority can be maintained in the confrontation.

Funder

111 Project of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference21 articles.

1. Electronic warfare systems;Spezio;IEEE Trans. Microw. Theory Tech.,2002

2. Farina, A., and Skolnik, M. (2008). Radar Handbook, McGraw-Hill. [3rd ed.].

3. Wonderley, D., Selee, T., and Chakravarthy, V. (2016, January 2–6). Game theoretic decision support framework for electronic warfare applications. Proceedings of the 2016 IEEE Radar Conference (RadarConf), Philadelphia, PA, USA.

4. Game Theoretic Strategies Design for Monostatic Radar and Jammer Based on Mutual Information;Li;IEEE Access,2019

5. A Review of Game Theory Analysis in Cognitive Radar Anti-jamming;He;J. Electron. Inf. Technol.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3