Power pattern synthesis of smart antenna array using different adaptive algorithms

Smart antenna array system is widely incorporate in wireless communication system; this paper presents a simulation based approach of smart antenna system for the performance evaluation of signal processing ability, which is optimized using different adaptive beamforming algorithms such as Least Mean Square (LMS) , Recursive List Square (RLS) and Simple Matrix Inversion (SMI). LMS is a gradient based approach, incorporates an iterative method which makes successive corrections to the weight vector to minimize the MSE. RLS algorithm is used to measure the complex weights by its own optimization thus there is no need to invert a large correlation matrix. SMI is defined as a time average estimate for the array correlation matrix using kth time samples. After comparison of different parameters obtained using LMS, RLS and SMI, it’s clearly observed that RLS algorithm is showing better performance also the convergence rate of MSE and NW is far better, which signifies the effectiveness of the proposed approach than other conventional optimization algorithms.