Signal separation theory by using adaptive array

Signal separation theory by using adaptive arrays is a new thesis in array data processing. The model considered in this paper is that the array consists of N elements and the number of signal sources, which are separated in spatial location, is M and M \leq N . By using the Hilbert transform of input signal and the directional incident angle matrix, a signal separation processor is formed. In each output channel of this processor have only one incident signal. The results of system simulation experiment in digital computer has proved that this theory is effective for separating signal in certain situation.