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

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.