Abstract
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.
Highlights
Recent years, high resolution inverse synthetic aperture radar (ISAR) imaging techniques have been widely used in military and civil fields such as target classification, field surveillance and human behavior understanding due to its all-day and all-weather surveillance capability [1]
Wang et al.: Task Scheduling for Multi-Target ISAR Imaging in Radar Network antenna deployment algorithm to solve the problem of multiple regions for interference simultaneously and the simulation results are provided to demonstrate the effectiveness of the proposed algorithm [7]
The experimental results showed that our method can design task scheduling strategy, which is capable to improve the resource utilization the radar network while the requirement of imaging resolution is fulfilled
Summary
High resolution ISAR imaging techniques have been widely used in military and civil fields such as target classification, field surveillance and human behavior understanding due to its all-day and all-weather surveillance capability [1]. D. Wang et al.: Task Scheduling for Multi-Target ISAR Imaging in Radar Network antenna deployment algorithm to solve the problem of multiple regions for interference simultaneously and the simulation results are provided to demonstrate the effectiveness of the proposed algorithm [7]. In [14], for the first time, a multi-target imaging task allocation method in radar network has been proposed in our previous work, in which the relaxed convex optimization theory is used to solve the imaging task allocation problem. With the help of the proposed method, the task scheduling for multi-target ISAR imaging in radar network can be completed effectively, and the resource utilization of the radar network can be improved while imaging quality requirement is fulfilled. It is necessary to conduct some analysis on the imaging time with respect to the image resolution requirement
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