Convergence Speeds of the Weight Vectors Based on Adaptive Beam Forming

The paper presents the faster convergence speeds of the weight vectors based on adaptive beam forming. The adaptive beam forming has faster convergence speeds of the weight vectors and much larger output SINRs. The step size of the adaptive algorithm is adjusted between the noise-free a posteriori and a priori errors to get the faster convergence rate and less misadjustment than the CLMS algorithm. On the other hand, minimizing the square of the augmented noise-free based on variable step size, the adaptive algorithm better improvements in the output SINR and accuracy. The results shows, comparison of different adaptive algorithms of MSE and output SINR.