Improved Adaptation Algorithms for Phased Arrays.

Methods of speeding up the convergence of adaptation algorithms of phased arrays are investigated, along with methods of estimating the eigenvalues of the noise correlation matrix, the impact of estimation errors on the algorithm convergence rate, and introducing nonlinear restrictions as weighed coefficients in order to maintain the required directivity level of the useful signal without prejudice for the signal/raise ratio at the array output.