公开(公告)号：US11816180B2

公开(公告)日：2023-11-14

申请号：US17602692

申请日：2020-03-10

Applicant: Beijing University of Posts and Telecommunications

Inventor： Zhiyong Feng ,  Kezhong Zhang ,  Zhiqing Wei ,  Li Xu ,  Che Ji

IPC: G06K9/00 ,  G06K9/62 ,  G06F18/2135

CPC classification number: G06F18/2135 ,  G06F2218/12

Abstract: Disclosed is a method for classifying mixed signals, comprising: receiving mixed signals; performing calculation on a matrix corresponding to the mixed signals by means of a preset Principal Component Analysis method to obtain to-be-classified mixed signals and to determine the number of types of signals contained in the to-be-classified mixed signals; determining a separation matrix based on the number of types of signals contained in the to-be-classified mixed signals; separating individual signals in the to-be-classified mixed signals by means of the separation matrix to obtain to-be-identified signals; calculating a preset number of high-order cumulants corresponding to each to-be-identified signal in the to-be-identified signals respectively; taking the calculated high-order cumulants as characteristics of the to-be-identified signal corresponding to the high-order cumulants respectively; inputting the characteristics of the to-be-identified signal into a preset classification model; and obtaining a modulation mode of the to-be-identified signal. The method according to the embodiment of the present application imposes no requirements on the classification environment, which is different from the prior arts in which the mixed signals can be classified only when certain conditions are met. Therefore, the method has universal applicability.