基于孔径分割的相控阵雷达认知成像调度算法

在相控阵雷达资源调度研究领域,关于时间资源的分配已较为成熟,然而对于孔径资源的分配方面尚有待深入研究。针对相控阵雷达成像任务的调度问题,提出了一种基于孔径分割的多目标认知成像调度算法。首先对目标的回波特征进行认知,计算出目标成像所需占用的时间资源、孔径资源及综合威胁度;然后根据反馈信息,对多个成像任务进行合理调度;最后利用基于压缩感知的稀疏孔径ISAR成像方法对各个目标进行成像,实现多个任务在孔径上并行,在时间上交替执行。仿真实验表明,在保证成像质量的前提下,基于孔径分割的自适应调度算法能够提高成像任务的调度成功率与雷达系统的资源利用率。

A Cognitive Imaging Scheduling Algorithm for Phased Array Radar Based on Aperture Partition

In the field of phased array radar resource scheduling, the research on the allocation of time resources has been comparative mature, while the allocation of aperture resources has seldom been concentrated. In the view of the problem of imaging task scheduling of phased array radar, this paper puts forward a scheduling algorithm for multi objective cognitive imaging based on aperture partition. Firstly, the echo characteristics of targets are cognized, and the resources of radar for target imaging can be calculated. Next, according to the feedback information, numerous imaging tasks are scheduled. Finally, different targets are imaged respectively by using sparse aperture inverse synthetic aperture radar(ISAR) imaging method based on compressed sensing theory. The simulation shows that on the premise of keeping the imaging quality, this adaptive scheduling algorithm can improve the scheduling success rate of imaging tasks and the resource utilization rate of the radar system based on the aperture partition.