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February 11, 2026Journal of the Korea Institute of Military Science and Technology0 citationsOpen Access

GPU Based Parallel Processing for Enhancing Simultaneous Engagement Capability in Engagement Control of Integrated Air Defense Systems

ISIlseob ShinSPSeongha ParkCLChanghun Lim

Key Points

  • The aim is to improve the engagement control process of Integrated Air Defense Systems using GPU-based parallel processing to handle multiple targets.
  • Applied GPU-based parallel processing to the engagement control process.
  • Focused on computational tasks like coordinate transformation.
  • Assessed performance under increasing workload scenarios.
  • GPU processing time increases with workload but remains significantly lower than CPU processing time.
  • Demonstrated enhanced multi-target and multi-weapon engagement capability in real-time operations.

Abstract

Modern Integrated Air Defense Systems(IADS) must perform real-time threat evaluation and engagement control in multi target and multi weapon environments. As the number of targets and defensive interceptor assets increases, the computational burden on the engagement control process rises significantly, leading to potential bottlenecks. To address this challenge, this paper applies GPU based parallel processing in the engagement control process of the IADS to accelerate computational processes such as coordinate transformation. Results show that GPU processing time increases gradually with the workload but remains much lower than that of the CPU. This demonstrates the effectiveness of GPU parallel processing. The proposed approach enhances the multi target and multi weapon simultaneous engagement capability of the IADS and provides a technical foundation for implementing real time engagement control in complex defense scenarios.

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Cite This Study

Shin et al. (2026) studied this question.

synapsesocial.com/papers/698c1c22267fb587c655e56ahttps://doi.org/10.9766/kimst.2026.29.1.052
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