多涂覆目标的RCS可视化计算  

The visual RCS computing of multi-coated targets with RAM

作　　者：孙元[1] 吴先良[1] 李超[1] 

机构地区：[1]安徽大学计算机智能与信号处理教育部重点实验室,合肥230039

出　　处：《信息技术》2008年第4期16-18,23,共4页Information Technology

基　　金：国家自然科学基金资助项目(60371041;60671051)

摘　　要：涂覆雷达吸波材料技术(RAM)是隐身技术中重要的技术之一,在现代隐身武器设计中得到广泛应用。GRECO方法使用Phong光照模型获取法矢等几何参数,只能处理目标表面单一涂覆的情况。使用索引法即用像素的颜色表示索引序号的方法,就可以处理目标表面不同部位有不同涂覆参数的多种涂覆情况。计算结果与相关文献进行比较,结果令人满意。Coating with radar absorbing material（RAM） is one of the important stealth technologies, it has been widely applied in modem stealth weapon design. Phong illumination model is used in conventional GRECO to obtain geometric parameters, such as the normal vector. Unfortunately, it is limited to cases in which the object surface is coated with single RAM. This paper proposed a new method based on the color of pixel to represent the index number, which can deal with multi-coated targets whose different parts have different coating parameters. The results are in good agreements with those published in relevant literatures.

关 键 词：雷达散射截面 涂覆 PHONG光照模型 索引法 

分 类 号：TN954[电子电信—信号与信息处理]