哈尔滨工程大学学报2016，Vol.37Issue(11)：1600-1605,6.DOI:10.11990/jheu.201511056
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
摘要
Abstract
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 constrain⁃ed 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 de⁃tection capability and the intercept probability for evaluating the stealth capability of radar radio frequency. Fi⁃nally, the suggested algorithm is applied to solve specific examples, and comparisons are made to other algo⁃rithms. Results of comparative experiments show that this method can effectively improve the detection capabili⁃ty 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Key words
phased array radar/detection probability/intercept probability/multi-objective optimization/parame-ters design/dual populations分类
信息技术与安全科学引用本文复制引用
毕晓君,张磊,陈春雨..相控阵雷达参数设计的约束多目标优化算法[J].哈尔滨工程大学学报,2016,37(11):1600-1605,6.基金项目
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）． （）
