远程相控阵雷达搜索参数优化设计

相控阵雷达波束无惯性捷变的优势使得雷达能同时实现多任务。但在雷达资源总量一定的情况下,跟踪等任务对资源的争夺必然导致搜索资源减少,搜索性能降低。根据远程相控阵雷达的搜索方式,提出了以捕获时间为目标函数的搜索性能优化模型,给出了AFP、ADP和AFPADP三种搜索参数优化设计策略。在保证捕获时间最小的情况下,通过独立或同时调整搜索帧周期和单次检测概率来适应搜索资源的减少,实现搜索性能的最大化。通过仿真比较了三种策略的搜索性能,结果表明AFPADP能提供最优的性能。

Optimization of Search Parameters of Long Range Phased Array Radar

The phased array radar can implement multi-tasks simultaneously for its non-inertial agile beam.But the total radar resource is fixed,the search resource should be decreased when other tasks,such as tacking,contest for the radar resource,thereby the search performance reduces.According to the search method of the long range phased array radar,this paper proposes a search performance optimization model which takes the capture time as the target function,as well as three search parameter optimization design methods,i.e.,AFP,ADP and AFPADP.At the premises of assuring minimal capture time,adjustment of the search frame period and single detect probability alone or simultaneously is used to adapt the decrease of search resource and achieve maximal search performance.Computer simulation is conducted to compare the search performances of the three methods.The result shows AFPADP can achieve best performance.