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改进的遗传算法用于雷达天线曲面拟合
Application of Improved GA to Radar Antenna Surface Fitting
【摘要】 由于坐标系统不统一以及空间曲面方程的复杂性等,雷达天线表面检测是一个非线性求解问题。提出了改进的遗传算法求解雷达曲面方程拟合中的坐标平移、旋转以及曲面标准方程的参数。在一个工程实例中的应用和比较结果表明,遗传算法能够应用于雷达天线等曲面拟合,改进算法更具优势。
【Abstract】 As coordinate system is not uniform and spatial surface equation is complex, radar antenna surface detection turns to be a nonlinear problem. This paper proposes to calculate the parameters of coordinate translation, rotation and surface standard equation with the method of parameter identification based on improved genetic algorithm. The application in an exact project shows that the improved genetic algorithm can be well used to surface fitting, such as radar antenna and is superior to the traditional one.
【关键词】 雷达天线;
曲面拟合;
参数辨识;
遗传算法;
改进;
坐标转换;
【Key words】 radar antenna; surface fitting; parameter identification; genetic algorithm; improvement; coordinate transformation;
【Key words】 radar antenna; surface fitting; parameter identification; genetic algorithm; improvement; coordinate transformation;
- 【文献出处】 苏州科技学院学报(自然科学版) ,Journal of Suzhou University of Science and Technology(Natural Science Edition) , 编辑部邮箱 ,2009年01期
- 【分类号】TN957;TP18
- 【被引频次】2
- 【下载频次】185