Compressive Sensing Based Channel Estimation for Massive MIMO Communication Systems

Table 1

Major steps involved in CoSaMP and SUCoSaMP.

	CoSaMP	SUCoSaMP
1. Classification.	The algorithm creates a replacement of the residual from the existing samples and places the biggest components of the replacement.	Follows the same step of CoSaMP.
2. Support union.	The set of recently recognized components is joined with the set of components that emerge in the present approximation.	Follows the same step of CoSaMP.
3. Estimation.	The algorithm finds the solution of a least-squares problem to estimate the objective signal on the combined set of components.	Follows the same step of CoSaMP.
4. Pruning.	The algorithm generates a fresh estimation by keeping only the biggest entries in this least-squares approximation of signal.	Follows the same step of CoSaMP.
5. Sample Update.	Finally, the algorithm updates the samples such that they reflect the residual, the un-approximated elements of the signal.	Follows the same step of CoSaMP.
6. Stopping Criterion	Until stopping criterion is true.	Until first stopping criterion is true.
7. Sparsity level Update	None	The algorithm updates the sparsity level
8. Stopping Criterion	None	Until second stopping criterion is true.