Performance analysis of SMI adaptive beamforming arrays for smart antenna systems

In this paper we have presented the theory and analyzed the performance of the SMI adaptive beamforming algorithm for smart antenna systems. The SMI algorithm is based on block-data weight adaptation. Simulations results obtained show that SMI algorithm is able to iteratively update the array weights to force deep nulls in the directions of the interferes, and achieve a maximum in the direction of the desired signal. The resulting beampattern is the same throughout all iterations since a solution for the optimal weights is independently computed for each data block. The SMI algorithm was found to converge almost immediately during the first data block with a small amount of residual error