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作 者:乐园园[1] 张臻[1] 盛景恺 徐秋坪 LE Yuanyuan;ZHANG Zhen;SHENG Jingkai;XU Qiuping(The 28th Research Institute of China Electronic Technology Group Corporation,Nanjing 210007,China)
机构地区:[1]中国电子科技集团公司第二十八研究所,江苏南京210007
出 处:《电子质量》2023年第2期14-18,共5页Electronics Quality
摘 要:分析了一种基于态势的多传感器任务规划调度方法。首先,根据传感器探测能力、目标预测轨迹,生成多传感器协同探测任务,并分解合并形成若干个探测子任务;然后,基于构建的协同探测效能函数,对每个探测任务进行传感器资源分配,通过特殊降维处理,实现传感器与目标分配方案的快速生成;最后,仿真分析了协同探测任务调度算法模型。特别地,针对传感器、目标规模都较大时,提出了一种经过改进的多传感器协同探测目标资源分配方案快速生成的优化方法,可满足多传感器协同探测任务高实时高可靠分配调度要求。A multi-sensor task planning and scheduling method based on situation is analyzed.Firstly,a multi-sensor collaborative detection task is generated according to the sensor detection capability and target prediction trajectory,which is decomposed and combined to form several detection subtasks.Then,based on the constructed collaborative detection efficiency function,sensor resources are allocated for each detection task.Through special dimension reduction processing,the rapid generation of sensor and target allocation scheme is realized.Finally,the collaborative detection task scheduling algorithm model is simulated and analyzed.In particular,an improved optimization method for rapid generation of multi-sensor collaborative detection target resource allocation scheme is proposed when the scale of sensor and target is large,which can meet the high real-time and reliable allocation and scheduling requirements of multi-sensor collaborative detection task.
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置] TP301.6[自动化与计算机技术—控制科学与工程]
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