Journal of System Simulation
Abstract
Abstract: Existing simulation methods for aircraft type identification mainly focus on a single sensor and a single target. They do not consider the joint acquisition of aircraft parameters by various sensor devices such as optoelectronics, radar, and electronic detection in real scenarios, leading to the simple simulation scenarios. This paper proposes a simulation platform based on multi-source sensors. Specifically, the platform includes an infrared image simulator that uses a cycleGAN network to generate infrared images of the aircraft, a flight simulator that adopts the three-degree-of-freedom flight control method to generate the movement trajectory of the aircraft, a radar simulator, that applies ellipsoidal equations to simulate radar cross-section of the target, an electromagnetic simulator, which simulates a complex electromagnetic environment through typical signal source collection and random noise introduction. Experimental results on the simulation dataset show that the introduction of multiple sensor information can effectively improve the recognition results of target types and improve the ability of the model to assist decision-making.
Recommended Citation
Gu, Shaozhu; Ying, Yuxin; Zhang, Huajie; and Tong, Yiqi
(2024)
"A Simulation Method Based on Multi-source Sensors for Aircraft Type Identification,"
Journal of System Simulation: Vol. 36:
Iss.
1, Article 11.
DOI: 10.16182/j.issn1004731x.joss.22-0967
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss1/11
First Page
149
Last Page
159
CLC
TP391.9
Recommended Citation
Gu Shaozhu, Ying Yuxin, Zhang Huajie, et al. A Simulation Method Based on Multi-source Sensors for Aircraft Type Identification[J]. Journal of System Simulation, 2024, 36(1): 149-159.
DOI
10.16182/j.issn1004731x.joss.22-0967
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