摘要
针对现代电子战探测目标多样性以及多任务同时工作导致的资源不足问题,研究了一种相控阵雷达的分区优化搜索算法。根据不同分区目标的不同特性分别设计了搜索参数,并给出了各分区重要性权重的计算方法。然后,分析了在不同资源约束条件下相控阵雷达搜索性能的优化模型,给出了各分区最优搜索数据率的计算准则和方法。最后,通过仿真实验验证了优化算法的有效性。
In view of diversity of detecting targets in modern electronic warfare and resource shortage caused by simultaneous operation of multitask, an optimal regional search algorithm of phased array radar （PAR） is presented. Based on different characteristics of tar- gets in different regions, search parameters are designed respectively, and calculation methods for weight of each sub-region impor- tance are provided. Under various resource constraints, the optimized models of PAR search performance have been investigated, as well as the calculation criteria and methods of the optimal search data rate in sub-regions have been given. The simulation results ver- ify the effectiveness of the optimal algorithm.
出处
《现代雷达》
CSCD
北大核心
2013年第12期27-30,共4页
Modern Radar
基金
总装预研基金资助项目
海装预研基金资助项目
船舶工业国防科技基金资助项目
关键词
相控阵雷达
分区搜索
权重
最优搜索数据率
phased array radar
region search
weight
optimal search data rate
