相控阵雷达动态自适应资源调度：通过综合优先级与脉冲交错提升效率
Dynamic Adaptive Resource Scheduling for Phased Array Radar: Enhancing Efficiency through Synthesis Priorities and Pulse Interleaving
AI总结：
本文提出一种基于综合优先级与脉冲交错的相控阵雷达动态自适应资源调度算法，通过优化任务优先级设计和利用收发等待周期，显著降低了调度失败率并提升了资源利用效率。
摘要：
为了提升相控阵雷达的资源调度性能，我们提出了一种基于综合优先级与脉冲交错的动态自适应资源调度算法。该方法针对相控阵雷达系统中任务分配效率低、丢失率高以及主观性显著等问题。我们引入了一种综合考虑工作模式优先级、截止期限和时间偏移率的任务综合优先级设计方法。通过实施该方法，能够提高任务调度的灵活性，并提升雷达处理任务的效率。此外，我们提出的脉冲交错方法有效利用了接收与发射脉冲之间的等待周期来处理其他波束，从而提高了资源利用率。仿真结果表明，所提出的调度算法显著降低了时间偏差率和调度失败率，同时提高了调度产出率和时间利用率。
英文摘要：
To enhance the resource scheduling performance of phased array radar, we propose a dynamic adaptive resource scheduling algorithm based on synthesis priorities and pulse interleaving. This approach addresses the challenges of low efficiency, high loss ratios, and significant subjectivity in task assignment within phased array radar systems. We introduce a task synthesis priority design method that considers the working mode priority, deadlines, and time shift ratios. By implementing this method, we can increase the flexibility of task scheduling and improve the efficiency of radar processing tasks. Additionally, our proposed pulse interleaving method effectively utilizes the waiting periods between receiving and transmitting pulses to process other beams, thereby enhancing resource utilization. Simulation results demonstrate that the proposed scheduling algorithm significantly reduces time deviation ratios and scheduling failure rates while improving scheduling yield and time utilization ratios.
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