Task Scheduling for Multi-Target ISAR Imaging in Radar Network

IEEE Access

Xiao-Wen Liu¹  Ying Luo¹  Dan Wang¹  Kai-Ming Li²  Qun Zhang² 

[1] Institute of Information and Navigation, Air Force Engineering University, Xi&x2019;an, China;

关键词: Radar network;    multi-target imaging;    task scheduling optimization;    time window;    improved quantum genetic algorithm (IQGA);   

DOI  :  10.1109/ACCESS.2020.2978904

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown