相控阵雷达资源受限时最优搜索性能研究

Research on optimal search performance of phased array radars with limited resources

多功能相控阵雷达通过对时间和能量资源的合理调度,可同时完成目标搜索、跟踪等多项任务。但对优先级别较低的搜索任务来说,当高优先级任务抢占雷达资源时,将会导致搜索性能下降。分析了影响相控阵雷达搜索性能的主要因素,详细研究了在搜索资源受限条件下,相控阵雷达搜索性能的优化模型,给出了搜索帧周期和探测距离计算的最佳准则和方法。通过仿真实验,分析了优化后相控阵雷达的搜索性能,实验结果验证了该模型的有效性。

With rational management of time and energy, multifunction phased array radars (MFPAR) can serve multiple purposes, such as search and tracking. When high priority missions occupy more radar's resource, search performance of MFPAR will be compromised. The main factors influencing the search performance are analyzed. Optimal search model of MFPAR with limited search resources is derived. The criterion for the optimum parameter choice of search frame perio and detection range is proposed in detail. Simulation results prove the validity of model with the analysis of the search performance in optimal search parameter.