An adaptive filter based channel estimation framework for large MIMO systems

In this paper an adaptive filter based channel estimation framework is introduced for large MIMO systems. The adaptive algorithms used are Least Mean Square (LMS) and Recursive Least Square (RLS). The system model considered is Centralised Antenna System (CAS). The convergence performance of both LMS and RLS based channel estimation is simulated and the computational complexity of each algorithm is computed. The convergence performance of LMS adaptive channel estimation w.r.t varying step size is studied and similarly the convergence performance of RLS adaptive channel estimation w.r.t varying forgetting factor and regularisation factor is studied.