Algorithm 1. The proposed improved coarray interpolation algorithms with cyclostationary signals.
Input	The received signal vector $\tilde{\mathbf{x}}(t)$, cyclic frequency $\alpha$, sources prior
Output	The optimized low-rank (conjugate) correlation matrix
Step 1	Compute the sampling (conjugate) correlation matrix ${\tilde{\mathbf{R}}}_{\mathbf{x}{\mathbf{x}}^{(\ast )}}^{\alpha }(\tau )$
Step 2	Generate the transform matrix ${\mathbf{J}}_{d(s)}$ and reshape ${\tilde{\mathbf{R}}}_{\mathbf{x}{\mathbf{x}}^{(\ast )}}^{\alpha }(\tau )$ to get ${\tilde{\mathbf{r}}}_{ℂd(s)}$
Step 3	Construct the (conjugate) correlation subspace ${\mathbf{Q}}_{\mathbf{C}\mathbf{S}}$ or ${\mathbf{Q}}_{\mathbf{C}\mathbf{C}\mathbf{S}}$
Step 4	Optimize (31) for the difference coarray or (32) for the sum coarray