改进遗传算法的相控阵雷达自适应调度算法及仿真  

Adaptive Scheduling Algorithm Based on Improved Genetic Algorithm for Multifunctional Phased Array Radar

作　　者：王帅杰 何俊[2] 王斌[2] 姬瑞龙 

机构地区：[1]解放军95910部队 [2]电子工程学院

出　　处：《火力与指挥控制》2015年第9期88-91,108,共5页Fire Control & Command Control

基　　金：武器装备技术基础项目

摘　　要：多功能相控阵雷达因其阵列天线的波束捷变能力,可执行对多个目标交替搜索、验证、跟踪等任务,而如何在时间约束下分配任务,对雷达性能有着决定性的影响。使用一种有效的调度算法能够使雷达资源合理分配,能够让雷达整体性能优化。在分析自适应调度算法的设计原则基础上,给出了具体的性能评估指标。针对多功能相控阵雷达,改进了传统的遗传算法作为调度算法。算法能够在雷达调度间隔约束下,选择综合效能最好的方案安排一个调度间隔内的雷达事件序列,并通过仿真结果验证了算法的有效性。Because of agile beam capability,Multifunctional Phased Array Radar （MFPAR） can perform not only search and track targets but also test and verify targets. Therefore an effective scheduling tactics is required so that the time and energy resources can be effectively allocated to optimize the overall performance of MFPAR. Analyzing the design principle of adaptive scheduling algorithm for MFPAR,this paper presents specific indexes to evaluate performance. Aiming at MFPAR, this paper uses improved genetic algorithm as adaptive scheduling algorithm. The algorithm can reasonably schedule radar tasks in the scheduling interval on the basis of their priority,dwelling length,comprehensive efficiency and the time constraint of scheduling interval. The validity of scheduling algorithm is proved by the results of simulation.

关 键 词：相控阵雷达 遗传算法 调度间隔 综合效能 

分 类 号：TN958.82[电子电信—信号与信息处理]