Simulations were used to investigate the effect of covariance matrix sample size on the system performance of adaptive arrays using the sample matrix inversion (SMI) algorithm. Inadequate estimation of the covariance matrix results in adapted antenna patterns with high sidelobes and distorted mainbeams. A technique to reduce these effects by modifying the covariance matrix estimate is described from the point of view of eigenvector decomposition. This diagonal loading technique reduces the system nulling capability against low-level interference, but parametric studies show that it is an effective approach in many situations.<>
Covariance matrix estimation errors and diagonal loading in adaptive arrays
IEEE Transactions on Aerospace and Electronic Systems ; 24 , 4 ; 397-401
01.07.1988
433600 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Robust Adaptive Beamforming with Variable Diagonal Loading
British Library Conference Proceedings | 2005
|Band-Inverse TVAR Covariance Matrix Estimation for Adaptive Detection
Online Contents | 2010
|