The simulation method of correlated Weibull radar clutter based on the split feasiblity problem

In virtue of the simulation model of Weibull distribution radar clutter based on the zero memory nonlinear (ZMNL) method, it is difficult to obtain the explicit closed solution, due to the complex formula between the correlation coefficients that before and after the nonlinear transformation. The implicit function iteration method can solve the nonlinear formula, but there is large computational cost and slow convergence rate. Using the algorithms of the split feasibility problem (SFP), a simpler explicit iterative algorithm with adaptive step-size is proposed. Through transforming the problem, the implementation becomes easier. The convergence rate can also be accelerated by setting an adaptive step-size. The simulation results show that not only the algorithm improved the accuracy of generating the correlated Weibull radar clutter in ZMNL model, but also reduced iteration numbers obviously.