基于蒙特卡洛法的红外坦克仿真

蒙特卡洛法求解红外辐射温度场正成为一个新兴热点。该方法最大的不足是计算量大、耗时过长,且其中大部分时间花费在统计每个单元发出的能束归宿上。文章引入层次包围盒技术,将目标划分为多个功能模块,再将每个模块分解成若干子区域。在统计每个单元发出能束的归宿时,首先判断能束是否与各级包围盒相交,如果相交再进行下一级包围盒或者单元的相交测试,否则直接跳过。这种方法可以极大地减轻运算量,提高运算速度。另外,文章还描述了采用的随机发射点产生算法,并分析了性能特点。在此基础上,进行了坦克目标的红外可视化建模与仿真,并给出了仿真结果。

Infrared Target Simulation Based on Monte-Carlo Method

Using Monte-Carlo method(MCM) to calculate the infrared radiation temperature field of a target is becoming a hotspot. The deficiency of MCM is its large amount and long latency of calculation. And it spends most time in gathering the end-result of every energy-ray the target emits. So multi-layered bounding box is introduced, which divides the target into multiple sub-function modules, and each module is divided into several districts. When calculating the end-result of an energy-ray, it will be first chec...