School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, China.
School of Engineering, London South Bank University, London SE1 0AA, UK.
Sensors (Basel). 2019 Dec 25;20(1):153. doi: 10.3390/s20010153.
The time resource management of phased-array radars is the key to fulfilling their performance, such as how phased-array radar can efficiently and reasonably schedule tasks under limited resources. Therefore, this paper proposes a task scheduling algorithm for phased-array radar based on dynamic three-way decision. The algorithm introduces three-way decision into the scheduling algorithm and divides the target into three threat areas according to the threat degree (i.e., threat area, nonthreat area, and potential threat area). Different threat domains are assigned different weights and combine the working mode and the task deadline to carry out comprehensive priority planning, so that the radar can reasonably allocate time according to the difference of the target threat level and the threat area in the tracking stage. In addition, an improved adaptive threshold algorithm is proposed to obtain a dynamic three-way decision to achieve the adaptation of the algorithm. A set of performance indicators have been defined to evaluate the algorithm. The relevant experiments have demonstrated that the proposed algorithm can effectively improve the processing capability of phased-array radars when dealing with high-threat targets.
相控阵雷达的时间资源管理是实现其性能的关键，例如相控阵雷达如何在有限的资源下高效合理地安排任务。因此，本文提出了一种基于动态三进制决策的相控阵雷达任务调度算法。该算法将三进制决策引入调度算法中，并根据威胁程度将目标分为三个威胁区域（即威胁区域、非威胁区域和潜在威胁区域）。不同的威胁域被赋予不同的权重，并结合工作模式和任务截止日期进行综合优先级规划，以便雷达在跟踪阶段根据目标威胁级别和跟踪阶段的威胁区域的差异合理分配时间。此外，还提出了一种改进的自适应门限算法来获取动态三进制决策，以实现算法的自适应。定义了一组性能指标来评估算法。相关实验表明，该算法在处理高威胁目标时，能够有效提高相控阵雷达的处理能力。
