CONVERGENCE CHARACTERISTICS OF THE ADAPTIVE ARRAY USING RLS ALGORITHM

The convergence characteristics of the adaptive beamformer with the RL S algorithm are analyzed in this paper. In case of the RLS adaptive be amformer, the convergence characteristics are significantly affected b y the spatial characteristics of the signals/noises in the environment . The purpose of this paper is to show how these physical parameters a ffect the convergence characteristics. In this paper, a typical enviro nment where a few directional noises are accompanied by background noi se is assumed, and the influence of each component of the environment is analyzed separately using rank analysis of the correlation matrix. For directional components, the convergence speed is faster for a smal ler number of noise sources since the effective rank of the input corr elation matrix is reduced. In the presence of background noise, the co nvergence speed is slowed down due to the increase of the effective ra nk. However, the convergence speed can be improved by controlling the initial matrix of the RLS algorithm. The latter section of this paper focuses on the physical interpretation of this initial matrix, in an a ttempt to elucidate the mechanism of the convergence characteristics.