摘要
桅杆作为重要的雷达反射源,直接影响到舰船的整体隐身性能,对其进行外形雷达隐身优化非常有意义.在特定的雷达探测条件下,以某封闭式八边形桅杆为例,利用自适应遗传算法,分别以威胁区域内的雷达散射截面(RCS)最大值、平均值,被监测平均概率以及大于RCS临界值的概率4种评价指标为目标函数进行桅杆形状的特征参数优化,并对不同指标的优化结果进行对比分析.优化后桅杆的隐身性能均有明显提升,4种优化结果所对应的RCS面积分布具有一定的相似性,同时结果也表明针对特征角度的RCS优化是无效的.
As an important source of radar reflection, mast will directly affect the stealth performance of overall warship, so stealth shape optimized design aiming at mast is very significant. Based on the typical radar detection conditions, an octagon closed-wide mast is taken as the stealth design model. Using the adaptive genetic algorithm, the mast is optimized with the objective functions which are respectively made by four existing criteria, including the maximum and average radar cross section （RCS） within the threat area, the average probability of radar detection and the probability greater than the critical RCS, and the comparative analyses of optimal mast design in every criterion are put forward. Every optimal mast design in every criterion has a better radar stealth performance, and the RCS distribution of each optimal design has a certain similarity. The experimental results also indicate that the optimization of the RCS of characteristic ar^gle of mast is ~rLvalid.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2013年第3期390-396,共7页
Journal of Dalian University of Technology
基金
国家自然科学基金资助项目(51079027)
关键词
舰船桅杆
雷达散射截面
隐身
优化
遗传算法
warship mast
radar cross section
stealth
optimization
genetic algorithm
