Comparison of digital algorithms for adaptive signal processing in systems with preliminary beam shaping

Estimates of the necessary learning-sample volume and the required number of computational operations are obtained for various adaptation algorithms in systems with preliminary shaping of the main and auxiliary beams. The advantages of an algorithm that implements the direct solution of a sampling analog of the Wiener-Hopf equation are noted; this algorithm requires the smallest learning-sample volume.