Sample matrix inversion

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