现代雷达2025，Vol.47Issue(12)：42-48,7.DOI:10.16592/j.cnki.1004-7859.20240124002
基于对称熵的预警雷达时间资源管理算法
Time Resource Management Algorithm of Early Warning Radar Based on Symmetric Entropy
摘要
Abstract
Due to the long scanning period of the airborne early warning radar antenna and the large and dense tracking capacity of targets,revisiting each target will excessively prolong the scanning period,making the extrapolation time for most targets unaccept-ably long.Therefore,a dynamic real-time beam management is required for tracked targets.A time resource management algorithm for the beam revisit of a phased array early warning radar based on Beta-Gamma symmetric information entropy is proposed to ad-dress this problem in this paper.Firstly,searching and tracking model is designed for phased array early warning radar.Secondly,a target priority calculation method to select the set of targets participating in beam revisit is addressed.Then,the beam revisit in-terval is calculated according to a fast target scheduling algorithm.Finally,a ranking decision for the targets with scheduling com-petition is made according to the Beta-Gamma symmetric information entropy of the target tracks,thereby selecting the most urgent-ly needed targets for radar beam revisit.The numerical simulation results confirm that the proposed algorithm can accurately and instantly respond to the demand for beam revisit resource allocation.关键词
预警雷达时间资源/快速目标回访间隔/Beta-Gamma对称信息熵/目标优先级/资源分配Key words
early warning radar time resource/quick target revisit interval/Beta-Gamma symmetric information entropy/target priority/resource allocation分类
信息技术与安全科学引用本文复制引用
张世仓,胡新梅,莫修辞,恽鹏..基于对称熵的预警雷达时间资源管理算法[J].现代雷达,2025,47(12):42-48,7.基金项目
中国博士后科学基金面上资助项目(2023M743336) （2023M743336）
