一种基于自适应粘滞Landweber算法的雷达杂波模拟方法

在Weibull分布雷达杂波模拟的模型中,针对隐函数迭代法求解无记忆非线性变换法(Zero Memory Nonlinear,ZMNL)中相关参数效率低下的问题,对Landweber迭代算法进行了优化,使之具备粘滞迭代格式和自适应步长,进而将相关系数求解问题转化为第一类算子方程问题。仿真结果表明,改进的算法收敛速度明显提升,显著提高了Weibull雷达杂波的模拟精度。

A Radar Distributed Clutter Simulation Method Based on an Adaptive Viscosity Landweber Algorithm

In the model of Weibull distributed radar clutter simulation, the Landweber iterative algorithm was optimized tosolve the inefficient problem of non-explicit function iterative method for solving the Zero Memory Nonlinear by viscosityiteration format and changing steps, and then the solving correlation coefficient problem was converted into the first type ofoperator equation problem. The results show that the convergence speed of the improved algorithm is faster, and the simula.tion accuracy is also significantly improved.