Real-time resource allocation is crucial for phased array radars to undertake multi-task with limited resources such as in the situation of multi-target tracking, in which targets need to be prioritized so that resources can be allocated accordingly and effectively. In this paper, a three-way decision-based model is proposed for adaptive scheduling of phased radar dwell time. Using the model, the threat posed by a target is measured by an evaluation function, and therefore, a target is assigned to one of the three possible decision regions, i.e., positive region, negative region, and boundary region. A different region has a various priority in terms of resource demand, and as such, a different radar resource allocation decision is applied to each region to satisfy different tracking accuracy of multi-target. In addition, the dwell time scheduling model can be further optimized by implementing a strategy for determining a proper threshold of three-way decision making to optimize the thresholds adaptively in real-time. The advantages and the performance of the proposed model has been verified by experimental simulations with comparison to the traditional two-way decision model and the three-way decision model without threshold optimization. The experiential results have demonstrated that the performance of the proposed model has a certain advantage in detecting high threat targets. 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

中文翻译：

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基于三向决策的相控阵雷达驻留时间自适应调度模型

实时资源分配对于相控阵雷达在资源有限的情况下承担多任务至关重要，例如在多目标跟踪的情况下，需要对目标进行优先级排序，以便相应地有效分配资源。本文提出了一种基于三向决策的模型，用于相控雷达驻留时间的自适应调度。使用该模型，目标构成的威胁由评估函数来衡量，因此，目标被分配到三个可能的决策区域之一，即正区域、负区域和边界区域。不同的区域在资源需求方面有不同的优先级，因此每个区域采用不同的雷达资源分配决策，以满足多目标不同的跟踪精度。此外，停留时间调度模型可以通过实施确定三路决策的适当阈值的策略来进一步优化，以实时自适应地优化阈值。与传统的双向决策模型和无阈值优化的三向决策模型相比，通过实验仿真验证了所提出模型的优点和性能。实验结果表明，该模型的性能在检测高威胁目标方面具有一定的优势。2020 年 IEEE。个人使用这种材料是允许的。在任何当前或未来媒体中的所有其他用途都必须获得 IEEE 的许可，包括出于广告或促销目的再版/重新发布本材料、创作新的集体作品、