Initial weight computation method with rapid convergence for adaptive antennas

摘要

The paper presents a rapid initial weight computation method for adaptive array antennas. The proposed method estimates a correlation matrix using not only samples received with the desired signal, but also those received from other sources. The proposed method reduces the number of known symbols required for weight convergence. Furthermore, the combined use of the proposed method and the decision-feedback MMSE combining method improves weight convergence significantly. Numerical results show that the combined method converges an array with 16 antennas by using less than 10 known symbols.