Paper
25 May 2023 Verifying of the service time and maximum queuing time statistical characteristics when aircraft penetrating air defense weapon
Jingheng Wang, Ying Zhang, Yuantao Yu III
Author Affiliations +
Proceedings Volume 12712, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023); 1271217 (2023) https://doi.org/10.1117/12.2679273
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), 2023, Huzhou, China
Abstract
The queuing theory is widely applied to air defense weapon, which is illustrated by an example, to analyze the penetration process and calculate the penetration probability. The paper firstly analyses the service time statistical characteristics of air defense weapon and the maximum queuing time statistical characteristics of the target, then provides simulation experiment data to verify the theoretical analyses.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingheng Wang, Ying Zhang, and Yuantao Yu III "Verifying of the service time and maximum queuing time statistical characteristics when aircraft penetrating air defense weapon", Proc. SPIE 12712, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), 1271217 (25 May 2023); https://doi.org/10.1117/12.2679273
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KEYWORDS
Defense and security

Weapons

Probability theory

Defense systems

Analytical research

Statistical analysis

Missiles

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