随机干扰序列的蒙特卡洛模拟  

Monte Carlo Simulation of Random Sequence

作　　者：张胜付[1] 赵建中[1] 沈海明 杜汉卿[1] 

机构地区：[1]南京理工大学电子工程与光电技术学院

出　　处：《数据采集与处理》1996年第1期56-58,共3页Journal of Data Acquisition and Processing

摘　　要：详述了某引信背景干扰随机序列的模拟产生方法，包括交换及逆变换法．着重分析了当杂波的幅度分布服从Ｇａｕｓｓ分布、Ｌｏｇ－Ｎａｍａｌ分布时，构造符合该要求的随机序列的基本方法及其理论依据。而杂波序列的功率谱密度曲线则由某一符合要求的钟形脉冲函数经解析延拓，以稳定的四阶Ｂｕｔｔｅｒ－Ｗｏｒｔｈ低通滤波器幅度平方特性去逼近设定的功率谱曲线．最后，由ＦＦＴ，ＩＦＦＴ完成线性滤波及功率谱变换，得到幅度满足指定要求、功率谱曲线符合要求的杂波模拟序列．iscusses the simulation methods of random sequence of background noise of fuzes, including transforming and anti-transforming methods in detail. It emphasizes on the basic methods and the theoretical basis to give desired simulation random sequences, the amplititude distribution of which obeys the Gaussian or the Log-Normal distribution. The power spectrum characteristic is simulated through a wanted and analytic extended Gaussian pulse function, which is approximated by the amplitude square of a 4th stable Butter-Worth low-pass filter. At last,expected simulating sequences with expected amplititude distribution and power spectrum are generated through linear filtering and power spectral transformation with FFT and IFFT methods.

关 键 词：随机序列 分布函数 蒙特卡洛模拟 

分 类 号：O242.1[理学—计算数学]