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针对数字阵列雷达搜索、跟踪和成像任务的资源调度问题,提出一种数字阵列雷达(DAR)任务的优化调度算法。该算法以脉冲交错技术为基础,在对目标搜索与跟踪的同时,利用基于压缩感知的稀疏孔径认知逆合成孔径雷达(ISAR)成像方法对部分精密跟踪目标成像,并采用观测时间动态调整策略以提高雷达系统的自适应能力。仿真结果表明,与传统雷达资源调度算法相比,该算法可以将成像任务考虑到优化调度模型中并合理分配资源,实现雷达多任务并行的调度,获得更高的资源利用率与期望的成像质量。
Aiming at the resource scheduling problem of digital array radar search, tracking and imaging tasks, an optimal scheduling algorithm for digital array radar (DAR) task is proposed. Based on the pulse interleaving technique, this algorithm exploits target tracking and tracing while imaging some of the precision tracking targets by using sparse aperture-aware inverse synthetic aperture radar (ISAR) imaging based on compressive sensing, and adopts dynamic time-of-observation strategy To improve the adaptive ability of the radar system. The simulation results show that compared with the traditional radar resource scheduling algorithm, this algorithm can consider the imaging task in the optimal scheduling model and allocate resources rationally to achieve multi-task scheduling in parallel with radar, and achieve higher resource utilization and desired image quality .