Sample matrix inversion
Sample matrix inversion is an algorithm that estimates weights of an array by replacing the correlation matrix Ru with its estimate. Using K samples, an unbiased estimate of Ru, the correlation matrix of the array signals, may be obtained by means of a simple averaging scheme:
The expression of the theoretically optimal weights requires the inverse of Ru, and the inverse of the estimates matrix is then used for finding estimated optimal weights.
