research-article

Research on Intelligent Assignment Method of Radar Jamming Task in Electronic Air Defense Operation

Authors:

Jun Li,

Lei Hu,

Wenrui Dai,

Bin FanAuthors Info & Claims

ICCAI '21: Proceedings of the 2021 7th International Conference on Computing and Artificial Intelligence

Pages 483 - 486

https://doi.org/10.1145/3467707.3467780

Published: 24 September 2021 Publication History

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Abstract

Radar jamming task assignment is one of the most important functions of EW simulation system. The result of radar jamming task assignment has great influence on the EW effect. At present, the existing optimization algorithm has difficulty in meeting the demand of simulation for its complexity and long computing time. In view of this problem, a new evolution algorithm, particle swarm optimization, is adopted to solve radar jamming task assignment problem on the basis of studying the problem and the algorithm is compared with the Genetic algorithm. The simulation result shows that the algorithm has faster computing speed and not many parameters to adjust in the same condition compared with the Genetic algorithm, so it is more suitable to solve radar jamming task assignment problem.

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Hui Wang.2006.Ground-to-air Radar Jamming Task Assignment Model Based on Genetic Algorithms.Shipboard Electronic Countermeasure,20-23

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ICCAI '21: Proceedings of the 2021 7th International Conference on Computing and Artificial Intelligence

April 2021

498 pages

ISBN:9781450389501

DOI:10.1145/3467707

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2021

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ICCAI '21

ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence

April 23 - 26, 2021

Tianjin, China

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Research on Intelligent station layout optimization of air defense radar network

IACO algorithm for weapon-target assignment problem in air combat

Cover Chirp Jamming: Hybrid Jamming--Deception Attack on FMCW Radar and Its Countermeasure

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