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All known adaptive processing methods, having a number of merits, at the same time don't allow to realize the effective processing in the case when a number of the input signals exceeds a number of the array hydrophones [1, 2]. So the noise own vectors determine with error and no one of the adaptive algorithms give the real signal bearings. To solve a problem by increasing of the array hydrophones isn't expedient because of the enormous increasing of the computing expenditures for the matrix treatment. Therefore, a search of the ways of the input matrix rank reduction has a practical interest. It will allow to use a known method of the algebraic structures having such merits as high resolution, invariance to the input SNR [3, 4].