摘要
为提高大气紊流数字模拟的精度,分析Dryden紊流模型的数字仿真技术,发现仿真中采用的高斯白噪声序列的生成精度是影响大气紊流模拟精度的重要因素.在不改变随机数序列均值、方差以及概率密度特性的情况下,采用双随机交换最小化方法对高斯噪声序列进行白化处理,使得随机数序列的白化程度提高,从而使紊流模拟的精度提高,而且模拟精度受采样间隔的影响降低.采用双随机交换最小化方法对高斯白噪声序列进行改进是提高紊流模拟精度的1种直接有效的手段.
To improve the precision of atmospheric turbulence simulation, the digital simulation technology based on Dryden turbulence model is analyzed. The analysis shows that the most important factor that affects the simulation precision is the generation precision of Gauss white noise sequence. Without changing the mean value, variance and probability density of random number sequence, a double stochastic interchange minimization algorithm is used to whiten the Gaussian noise sequence. The whiten degree of random number sequence and the precision of atmospheric turbulence simulation are improved. At the same time the influences of time interval on simulation precision are decreased. It is a better way to improve the precision of turbulence simulation by using double stochastic interchange minimization algorithm to improve Gauss white noise sequence.
出处
《计算机辅助工程》
2008年第3期54-57,共4页
Computer Aided Engineering
关键词
大气紊流
Dryden紊流模型
高斯白噪声
随机序列
双随机交换最小化方法
atmospheric turbulence
Dryden turbulence model
Gauss white noise
random sequence
double stochastic interchange minimization algorithm
