在目标搜索领域,合理安排调度序列能有效提高雷达搜索性能。针对相控阵雷达同时多任务需求,提出了一种基于最大信息增益原则的自适应资源调度搜索算法。在目标先验信息引导下,给出重点搜索区域内波位编排方法,采用最大信息增益原则,在满足时间和能量资源的约束条件下,解决重点区域内目标的最优搜索问题。仿真结果表明,与传统相控阵雷达基于顺序搜索方式相比,该算法能快速发现目标并有效提高搜索数据率和能量利用率,在工程应用中证明该方法是行之有效的。

Reasonable resource scheduling can effectively improve radar searching performance in searching field. Aiming at the multi tasks of phased array radar, an adaptive resource scheduling searching method based on information entropy is proposed in this paper. Beam arrangement method in prior area is given under the guidance of target priori information, and the best searching problem is solved with max information gain principle under time and energy constraints. The simulation results demonstrate that this algorithm can find target faster and provide higher system utility and data updating rate comparing with traditional sequential searching mode. Application proves these methods are effective.

TN953