根据K分布杂波两个正交分量可由两列独立的高斯矢量加权乘积和构成的原理。提出了一种新的相关相干K分布杂波建模与仿真方法.相比经典的零记忆非线性变换(ZMNL)和球不变随机过程(SIRP)法,该方法可以仿真自相关函数(acf)为任意复数的杂波序列,同时由于不需要进行矩阵求逆和非线性变换,运算速度得到显著改善。数值仿真以及对实际雷达海杂波图的模拟,证明了该方法的有效性。
With the principle of each quadrature component of K-distributed clutter which can be modeled by a weighted sum of products of two independent Gaussian variables, a new method for modeling and simulation of correlated coherent K-distributed clutter was proposed. Compared with zero memory nonlinearity (ZMNL) and spherically invariant random process (SIRP), this method can generate correlated coherent clutter with arbitrary complex acf. At the same time, it doesn't need resolving non-liner equation and matrix inverse, so the speed of simulation is improved markedly. Both the emulation of data and the simulation of the real radar sea-clutter map prove the validity of this scheme.