基于调度效益最大化的多功能组网认知雷达资源优化调度算法  

Optimal Scheduling Algorithm for Multi-functional Network Cognitive Radar Resources Based on Maximizing Scheduling Benefits

作　　者：白钊铭 廖可非 欧阳缮[1,2] 李晶晶[1] 黎爱琼[1] BAI Zhao-ming;LIAO Ke-fei;OUYANG Shan;LI Jing-jing;LI Ai-qiong(School of information and Communication,Guilin University of Electronic Technology,Guilin 541004,China;State and Local Joint Engineering Research Center for Satellite Navigation and Location Service(Guilin University of Electronic Technology),Guilin 541004,China)

机构地区：[1]桂林电子科技大学信息与通信学院,桂林541004 [2]卫星导航定位与位置服务国家地方联合工程研究中心(桂林电子科技大学),桂林541004

出　　处：《科学技术与工程》2020年第14期5709-5714,共6页Science Technology and Engineering

基　　金：国家自然科学基金(61631019,61701128,61871425);广西自然科学基金(2017GXNSFBA198032);广西科技厅项目(桂科AA17202048,桂科AD18281061);桂林电子科技大学研究生教育创新计划(2019YCXS030)。

摘　　要：在组网认知雷达中,针对多目标多任务(如搜索、跟踪与成像等)按优先级进行资源调度时易造成目标任务丢失的问题,提出基于调度效益最大化的多功能组网认知雷达资源优化调度算法。该算法将搜索与跟踪任务的时间窗考虑到目标函数中,通过目标任务的重要性(优先级)和有效性(时间窗)两个因素的加权来表示雷达对目标任务的调度效益,根据调度效益最大准则建立并利用遗传算法求解资源调度模型。对仿真结果分析表明,该方法能够提高组网认知雷达的整体效能。In network cognitive radar,an optimal scheduling algorithm for multi-functional network cognitive radar resources based on maximizing scheduling benefits was proposed.It mainly dealt with the problem that multi-targets and multi-tasks(such as searching,tracking and imaging)which scheduling according to resource priority would easily lose target tasks.The time window of the search and tracking task was taken into consideration in the objective function in algorithm.The scheduling benefit of the radar to the target task was represented by the weighting of the importance(priority)and validity(time window)of the target task.According to the maximum scheduling benefit criterion,a resource scheduling model was established and solved by genetic algorithm.The simulation experiment analyzes the scheduling sequence diagram and performance indicators,and verifies that the method can improve the overall performance of the network cognitive radar.

关 键 词：组网雷达 资源调度 调度效益 遗传算法 

分 类 号：TP391.75[自动化与计算机技术—计算机应用技术]