仿真建模中随机值生成技术研究

Research on Random Value Generation Technology in Simulation Modeling

针对仿真建模中随机数生成的问题,笔者提出了高斯随机值、随机值筛选、柏林噪声三种随机数生成和处理技术,并对其处理流程和算法进行了详细介绍,该技术已应用于某仿真训练系统的探测、指挥等仿真模型的实现上。应用表明,通过该技术生成的随机数较好的实现了作战过程中不确定因素的模拟。

Aiming at the problem of random number generation in simulation modeling,three random number generation and processing techniques of Gaussian random value,random value screening and Berlin noise are proposed,and the processing flow and algorithm are introduced in detail.Applied to the simulation model of detection and command of a simulation training system,the application shows that the random number generated by the technology can better simulate the uncertain factors in the combat process.