基于ZMNL经验迭代法的相关非高斯雷达杂波仿真  

Correlated non-Gaussian radar clutter simulation using empirical iteration method based on ZMNL

作　　者：曹宁[1] 鹿浩[1] 胡居荣[1] 

机构地区：[1]河海大学电子信息工程系,江苏南京210098

出　　处：《系统工程与电子技术》2006年第10期1592-1594,共3页Systems Engineering and Electronics

摘　　要：针对基于零记忆非线性变换(zero memory nonlinearity,ZMNL)的相关非高斯雷达杂波仿真,提出了一种类似神经网络形式的经验迭代法。该方法在对输出频谱估计的基础上,反复修正输入频谱,经过多次迭代运算来确定非线性变换前后相关系数之间的关系。给出了应用该方法进行杂波仿真的具体步骤,仿真结果证明了该方法的有效性。A neural network-type empirical iteration method is proposed to simulate correlated non-Gaussian radar clutter based on zero-memory nonlinearity （ZMNL）. To identify the nonlinear relation between the correlation coefficients before and after nonlinear transform, the approach iteratively modifies the desired input spectrum based on the evaluation of output spectrum. The application process of this method in clutter simulation is described. The simulation results prove the validity of the method.

关 键 词：雷达杂波 经验迭代法 相关非高斯 非线性关系 神经网络 

分 类 号：TN955[电子电信—信号与信息处理]