Task Scheduling for Multi-Target ISAR Imaging in Radar Network
Task Scheduling for Multi-Target ISAR Imaging in Radar Network
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DOI：
10.1109/access.2020.2978904
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发表时间：
2020
期刊：
影响因子：
3.9
通讯作者：
Dan Wang;Qun Zhang;Ying Luo;Kai-ming Li;Xiao-wen Liu
中科院分区：
文献类型：
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作者：
Dan Wang;Qun Zhang;Ying Luo;Kai-ming Li;Xiao-wen Liu
对于雷达网络中多目标的雷达成像，在雷达资源有限的情况下，需要在合适的时间将成像任务安排在不同的雷达之间，以达到较高的性能。基于对图像质量的要求，提出了雷达网络中多目标逆合成孔径雷达（ISAR）成像的任务调度方法。由于图像分辨率是图像质量的重要指标，且成像任务具有时间敏感性，因此首先研究了成像分辨率与任务时间之间的关系。然后，将任务调度问题转化为具有时间窗约束的优化问题，并提出了改进的量子遗传算法（IQGA）来求解该问题。在此基础上，给出了任务调度策略，包括如何将目标分配给各雷达以及何时对目标进行观测。最后，仿真结果验证了所提方法的有效性。利用该方法可以有效地完成多目标ISAR任务，提高雷达网络的资源利用率。
For radar imaging of multiple targets in radar network, it is necessary to schedule the imaging tasks among various radars at suitable time to achieve high performance under limited radar resources. In this paper, based on the image quality requirement, a task schedule method is proposed for multi-target inverse synthetic aperture radar (ISAR) imaging in radar network. Due to the image resolution is an important indicator of image quality and the imaging task is time sensitive, the relationship between the imaging resolution and task time is studied firstly. Thereafter, the task scheduling problem is converted into an optimization problem with time window constrains and an improved Quantum Genetic Algorithm (IQGA) is proposed to solve the problem. Then the task scheduling strategy which contains how to allocate the targets to the radars and when to observe the targets can be obtained. Finally, simulation results verify the effectiveness of the proposed method. With the help of the propose method, the multi-target ISAR task can be completed effectively and the resource utilization of the radar network can be improved.