Time-domain aliasing blind signal separation method based on three-factor iteration joint block diagonalization

The invention discloses a time-domain aliasing blind signal separation method based on three-factor iteration joint block diagonalization. The method comprises the steps of firstly rearranging time-domain convolution aliasing signals received from a sensor into observation data vectors; calculating the second order time delay correlation matrix set of the observation data vectors under assigned time delay; calculating a block nature equality matrix of a real block aliasing matrix by using a non-orthogonal joint block diagonalization method based on three-factor iteration; resolving a pseudo-inverse matrix of the block nature equality matrix; calculating an estimation signal of a source signal by using the pseudo-inverse matrix to realize the separation of blind and source signals of the time-domain convolution aliasing signals. According to the method, an object function is built and is used for evaluating a separation effect, further three groups of matrix factors are solved, the separation effect of the bli