作　　者： (孟迪）; (张群）; (罗迎）; (陈怡君）;

机构地区： 空军工程大学信息与导航学院,西安710077 信息感知技术协同创新中心,西安710077

出　　处： 《航空学报》 2017年第8期167-176,共10页

摘　　要： 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。 A dwell scheduling algorithm for resource scheduling of searching tracking and imaging tasks in digital array radar（DAR）is proposed.Based on the pulse interleaving technique,the algorithm can simultaneously achieve precise imaging of part of tracking targets using sparse-aperture cognitive inverse synthetic aperture radar（ISAR）imaging during implementing searching and tracking tasks.A dynamic priority adjustment strategy for imaging tasks is adopted to improve the self-adaptive ability of radar system.Simulation results demonstrate that compared with conventional dwell scheduling algorithm,the proposed algorithm can take the imaging mission into account in the resource scheduling optimization model and realize multitask parallel scheduling effectively to achieve higher resource utilization ratio and imaging quality as expected.

关 键 词： 数字阵列雷达 资源调度 脉冲交错 稀疏孔径成像 资源利用率