An effective task scheduling method is the premise and guarantee for cooperative imaging in radar network. In this article, an adaptive task scheduling algorithm for three-dimensional (3-D) target imaging in radar network is investigated. The aim of our strategy is to achieve the multiple 3-D target imaging tasks with the minimal task time. Firstly, the 3-D target image can be reconstructed by high-resolution inverse imaging aperture radar (ISAR) images from three views, and the sparse imaging algorithm based on compressed sensing (CS) is adopted to acquire the ISAR images of the targets. Then, the adaptive task scheduling optimization model is constructed. Through the steps of target Information perception, radar selection and adjustment of imaging terminal time, the optimal task scheduling strategy is obtained and the resource utilization of radar network is significantly improved. Finally, the experiments highlight the effectiveness of our proposed task scheduling method.

有效的任务调度方法是雷达网络协同成像的前提和保障。本文研究了一种雷达网络中三维（3-D）目标成像的自适应任务调度算法。我们策略的目标是以最少的任务时间实现多个 3-D 目标成像任务。首先，利用高分辨率逆成像孔径雷达（ISAR）图像从三个视角重建3维目标图像，并采用基于压缩感知（CS）的稀疏成像算法获取目标的ISAR图像。然后，构建了自适应任务调度优化模型。通过目标信息感知、雷达选择和成像终端时间调整等步骤，得到了最优的任务调度策略，显着提高了雷达网络的资源利用率。最后，实验突出了我们提出的任务调度方法的有效性。