Paper
23 August 2022 Research on target data allocation of anti-radiation UAV
Wanting Zhang, Yi Leng, Yinan Zhang, Xinglin Du, Fuqun Zhang
Author Affiliations +
Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 123051O (2022) https://doi.org/10.1117/12.2645625
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China
Abstract
Aiming at the problem of complex target data allocation of anti-radiation UAV, with the support of anti-radiation UAV target data, a combat target allocation algorithm is proposed to solve the optimal task allocation scheme of anti-radiation UAV. Firstly, the model of combat target allocation is established, and the problem of target allocation strategy is transformed into the problem of maximizing the mathematical expectation of cluster combat effectiveness. Secondly, the combat target allocation algorithm is proposed and the global optimality of the proposed algorithm is deduced. Finally, the simulation results show that the algorithm in this paper is more efficient and can obtain the global optimal solution compared with the classical traversing method and genetic algorithm. The dynamic combat target allocation algorithm proposed in this paper can greatly improve the combat effectiveness of anti-radiation UAV.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wanting Zhang, Yi Leng, Yinan Zhang, Xinglin Du, and Fuqun Zhang "Research on target data allocation of anti-radiation UAV", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 123051O (23 August 2022); https://doi.org/10.1117/12.2645625
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KEYWORDS
Unmanned aerial vehicles

Detection and tracking algorithms

Genetic algorithms

Computer simulations

Algorithm development

Data modeling

Radar

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