Task Allocation Optimization for Multi-Target ISAR Imaging in Radar Network

For radar imaging of multiple targets in different beams, it is necessary for the radar network to coordinate the imaging task among various radars to achieve the best multi-target imaging performance under limited system resources. This paper proposes a task allocation optimization method of inverse synthetic aperture radar (ISAR) imaging for multiple targets. The imaging resolution is an important indicator of the imaging quality. Therefore, the relationship between the imaging resolution and task time is analyzed at first. Thereafter, the task allocation problem is converted into a time resource optimization problem of the radar network. Combining with the sparse aperture ISAR imaging algorithm, the task allocation optimization model of the radar network is constructed, and the corresponding algorithm for solving the model is proposed. The proposed method can effectively implement the multi-target ISAR imaging task allocation for the radar network. Moreover, it can greatly improve the resource utilization of the radar network, while meeting the imaging resolution requirements. Finally, some experiments have been conducted to verify the effectiveness of the proposed method.