相控阵雷达参数设计的约束多目标优化算法  

Constrained multi-objective optimization algorithm for parameter design of phased array radar

作　　者：毕晓君[1] 张磊[1] 陈春雨[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2016年第11期1600-1605,共6页Journal of Harbin Engineering University

基　　金：国家自然科学基金项目(61175126);辽宁省博士科研启动基金项目(201205118)

摘　　要：针对目前相控阵雷达参数优化模型只考虑检测概率,而忽略隐身安全性能的问题,建立了将驻留时间、脉冲峰值功率等作为优化设计参数的相控阵雷达探测约束多目标优化模型。提出改进的双种群约束多目标优化算法对雷达探测模型参数进行优化,进而提高用于评价探测目标能力的检测概率,以及降低用于评价雷达射频隐身能力的截获概率。将提出的设计方法结合具体实例进行仿真实验,并与其他算法进行了对比。实验结果表明,本文算法有效改善了相控阵雷达的探测能力和隐身性能。The current parameter optimization models for phased array radar consider only the detection proba-bility while ignoring the stealth performance. This paper aims to solve this problem, by presenting a constrained multi-objective optimization model that involves the optimal design of parameters such as dwell time and pulse peak power. The constrained multi-objective optimization algorithm based on dual populations is then proposed to optimize the model, with the aim of improving both the detection probability for evaluating the detection capability and the intercept probability for evaluating the stealth capability of radar radio frequency. Finally, the suggested algorithm is applied to solve specific examples, and comparisons are made to other algorithms. Results of comparative experiments show that this method can effectively improve the detection capability and stealth performance of a phased array radar.

关 键 词：相控阵雷达 检测概率 截获概率 多目标优化 参数设计 双种群 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]