针对饱和攻击时相控阵雷达资源受限问题,提出一种在目指信息引导下基于目标探测概率计算的波位动态时序编排算法。该算法依据目指信息及边界约束条件对指示搜索区域进行划分,根据任务类型选择波位编排模型,对不同波位的目标发现概率进行计算。通过对雷达资源的预估计,以目标发现概率最大为准则确定各波位照射次数及时序,构造动态波位搜索时序模型。仿真结果表明,该算法有效降低了相控阵雷达资源需求,提高了饱和攻击情况下相控阵雷达的多目标检测跟踪能力。

For the problem of phased array radar's limited resources in saturation-attack, a beam position sequence dynamic arrangement algorithm based on target detection probability calculation under guidance of target's cuing information is presented. This algorithm divided the guide-searching space based on target's cuing information and boundary constraint conditions. Then the beam position arrangement model is chosen by the task's type, the probability of target discovery of different beam positions is calculated.The dynamic beam position search sequence model is constructed through pre-estimating the radar's resources to ensure the number and sequence of the beam position's irrational under the principle of maximizing the probability of target discovery. The simulation results show that the algorithm is effective to reduce the phased array radar resources requirements, and that the phased array radar's ability to detect and track the multi-target in saturation-attack case has been improved.

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