Application of group intelligence combined with a cascaded neural network in swarming electronic countermeasures

Fei Liu; Zhujun Zhang; Kunnian Mi

doi:10.1117/12.3014870

4 March 2024 Application of group intelligence combined with a cascaded neural network in swarming electronic countermeasures

Fei Liu, Zhujun Zhang, Kunnian Mi

Author Affiliations +

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129815Y (2024) https://doi.org/10.1117/12.3014870
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

The countermeasure of enemy phased array radar by mounting electronic warfare equipment on cluster platform is one of the important tactical means to make up for the short board of single-unit countermeasure capability. Interactive and intelligent comprehensive analysis of the same radiation source information perceived by individuals in the phased array radar group is an indispensable step before the comprehensive identification, prediction and decision-making of the operation status and intent of the radar group. The existing method searches target information among all the individuals in the cluster, which not only increases the unnecessary network online interaction and computational burden but also generates a large amount of redundant information. To solve the above problems, this paper designs a decentralized cluster radar countermeasure system framework based on cluster intelligence and neural networks for information fusion. Under this framework, based on swarm intelligence technology (SI), an individual local interaction mechanism is designed, and optimal subgroups representing the characteristics of radiation sources emerged through self-organization among individuals. Finally, the feasibility of the framework is verified by the simulation, which demonstrates that the recognizable radar word fragments can be increased by the cascade of neural networks under information fusion.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fei Liu, Zhujun Zhang, and Kunnian Mi "Application of group intelligence combined with a cascaded neural network in swarming electronic countermeasures", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129815Y (4 March 2024); https://doi.org/10.1117/12.3014870

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KEYWORDS

Electronic support measures

Radar

Neural networks

Radar signal processing

Phased arrays

Information fusion

Education and training

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