A FAM-2D RLS based smart Massive MIMO system

In this paper we implement a Fast Array Multichannel 2D Recursive Least Square (FAM 2D-RLS) based smart antenna system for massive MIMO. A rectangular antenna array in the X-Y plane is considered. The direction of arrival (DOA) is estimated using MUSIC algorithm. The estimated DOA is used by the adaptive beamformer to generate beams that have maximum gain in the direction of receiver and nulls in the direction of interferes. The computational complexity is calculated and convergence performance is simulated and compared with standard adaptive algorithms. It is seen that convergence performance of FAM 2D-RLS is similar to that of a standard RLS algorithm while the computational complexity is comparable to that of standard Least Mean Square algorithm (LMS). It is also observed that the computational cost of the adaptive filter is directly proportional to the total number of antennas in the antenna array. Hence the contributions in this paper is highly relevant in the case of massive MIMO systems. The simulations are performed in MATLAU & SystemVue.