Cooperative Jamming Resource Allocation Model Based on Improved Discrete Firefly Algorithm

An improved discrete firefly algorithm (IDFA) based on random keys was proposed to solve the problem of jamming resource allocation under the background of distributed jammers covering aerial target penetration radar network. Based on the measurement accuracy of a single radar, we established a jamming resource allocation model which takes the positioning accuracy of radar network as the effect evaluation function. IDFA is used to optimize the model and the algorithm flow is given. The simulation results show that the proposed IDFA has fast convergence and strong optimization ability, and can effectively solve the problem of optimal allocation of collaborative jamming resources.

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Published
2024-10-28
DOI
https://doi.org/10.1109/icsp62129.2024.10846544
Primary Topic
Advanced Decision-Making Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Cooperative Jamming Resource Allocation Model Based on Improved Discrete Firefly Algorithm

Jingjian Huang, Qingzhan Shi, Naichang Yuan, Chao Wang
Advanced Decision-Making Techniques
article

Cooperative Jamming Resource Allocation Model Based on Improved Discrete Firefly Algorithm

Jingjian Huang, Qingzhan Shi, Naichang Yuan, Chao Wang
article en

Abstract

An improved discrete firefly algorithm (IDFA) based on random keys was proposed to solve the problem of jamming resource allocation under the background of distributed jammers covering aerial target penetration radar network. Based on the measurement accuracy of a single radar, we established a jamming resource allocation model which takes the positioning accuracy of radar network as the effect evaluation function. IDFA is used to optimize the model and the algorithm flow is given. The simulation results show that the proposed IDFA has fast convergence and strong optimization ability, and can effectively solve the problem of optimal allocation of collaborative jamming resources.

National University of Defense Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 58%
Advanced Decision-Making Techniques
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