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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。
Monte-Carlo method to solve the infrared radiation temperature field is becoming a hot spot. The biggest drawback of this method is the large amount of computation and the long time-consuming, and most of the time is spent in statistics on the energy beam emitted by each cell. The article introduces hierarchical bounding box technology, divides the target into several functional modules, and then decomposes each module into several sub-regions. When counting the fate of energy beam emitted by each cell, it is first determined whether the energy beam intersects the bounding boxes at all levels. If the intersecting is followed by the intersecting test of the bounding box or cell at the next level, it is skipped directly. This method can greatly reduce the amount of computation and improve the computational speed. In addition, the article also describes the use of random launch point generation algorithm, and analyzes the performance characteristics. On this basis, infrared visual modeling and simulation of tank target were carried out, and the simulation results were given.