Algorithm 1. Stochastic simulation algorithm

Step (1): Let $N^{\prime }=0$.

Step (2): Generate N sets of RCS vector samples ${\left[h_k=h_{1,k,},h_{2,k},\dots ,h_{Q,k}\right]}_i\left(i=1,2,\dots ,N\right)$ from sample space ${\left(\Omega ,A,Pr\right)}_q\left(q=1,2,\dots ,Q\right)$.

Step (3): If ${\displaystyle \sum _{q=1}^Q\left[w_{q,k}\cdot F\left(P_{q,k}^i,h_{q,k}\right)\right]\le {\eta }_k}$, then $N^{\prime }=N^{\prime }+1$. Repeat steps 2 to 3.

Step (4): Let $Pr\left\{P_{q,k}^i\right\}=N^{\prime }/N$.

Step (5): If $Pr\left\{P_{q,k}^i\right\}\ge \alpha$, then $P_{q,k}^i$ satisfies the confidence level $\alpha$, otherwise it does not.