雷达探测高超声速目标分区搜索资源优化

Optimization of partition search resource for hypersonic target detection by radar

针对高超声速目标来袭方式多样而不易捕获的问题,设计了一种远程、中远程、近程区域同时搜索的相控阵雷达分区搜索资源优化方法.首先分析此类目标复杂的目标特性对雷达搜索任务的影响,指出雷达现有搜索工作模式的不足并构设分区搜索场景;然后以累积探测距离作为雷达搜索任务质量的度量指标并映射至效益函数,建立分区搜索资源优化的数学模型;最后对设计方法的有效性进行仿真验证.结果表明:当给定分区同时搜索的任务优先级时,中远程、近程搜索区域均可达最大搜索任务质量;而远程搜索区域当任务效益值仅为0.55时,其搜索任务质量仍可达效益最大时搜索任务质量的86%.当雷达搜索资源使用受限时,设计的灵活搜索方法可有效应对具备多种来袭样式的高超声速目标威胁.

In view of the problem that hypersonic targets are difficult to capture due to its various incoming patterns,a flexible partition search resource optimization method for phased array radar was designed for long-range,medium-range and short-range simultaneous search.Firstly,the influence of the complex characteristics of hypersonic targets on the radar search task was analyzed,the shortcomings of the existing radar search mode were pointed out and the partition search scene was constructed.Then,with the cumulative detection range as the measurement index of radar search task quality and mapped to the utility function,a mathematical model of partition search optimization was established.Finally,the simulation was carried out to verify the effectiveness of the proposed design method.The results show that when the task priority of simultaneous search in partitions is given,the medium-long range and short-range search sectors can reach the maximum search task quality,while the long-range search task quality can still reach 86% of the maximum search task quality with the utility is only 0.55.When the use of radar search resources is limited,the designed flexible search method can effectively deal with the threat of hypersonic targets with multiple incoming patterns.