相关非高斯分布杂波的建模与仿真

Modeling and Simulation of Correlated Non Gaussian Foliage Background Radar Clutter

对数正态分布、韦伯分布、K分布是三种适于描述叶簇背景杂波的非高斯分布模型,快速、准确地模拟叶簇背景杂波,对大积累角UWBSAR体制中叶簇覆盖人造目标检测与识别的算法研究是十分重要的。讨论了上述三种相关非高斯分布杂波的建模与仿真,在三种非高斯分布与高斯分布的相关系数之间的非线性关系的基础上,利用修正的零记忆非线性变换(ZMNL),模拟产生了三种相关的非高斯分布随机序列。仿真结果证明了这种方法是有效可靠的。

Foliage background radar clutter can be statistically modeled by using three kinds of non Gaussian probability density functions (PDFs) of lognormal,Weibull and K distributed.It is important to correctly simulate foliage background clutter for wide angle UWB SAR to aid in the design of algorithms to detect targets under foliage.Modeling and simulation of three kinds of correlated non Gaussian clutter are discussed in is paper.Based on the correlation coefficient nonlinearity between three non Gaussian and Gaussian distribution,three correlated non Gaussian random sequences are generated by modified zeros memory nonlinearity(MZMNL).The validity of scheme is proved by our simulated results.