Blind system identification method

摘要

A single-input double-output blind model system identification method for estimating a channel order and reducing communications errors in a transmitted data sequence s(n), wherein the channel is represented by h1 and h2. The method is performed according to a SIDO model. In the method, first a computational model of the system 1 $y_i\left(n\right)=\sum _{j=0}^{L_{\mathrm{adf}}-1}w\left(i·j\right)x_i\left(n-j\right)\left(i=1,2\right)$ is provided, wherein yi(n) represents an output signal, w(i,j) is an adaptive digital filter ("ADF") wherein j represents a j-th coefficient of the ADF, Ladf represents a tap length of the ADF, and xi represents a signal received from the channel corresponding to a transmitted signal s. Adaptive computation is performed by computing a minimum Ladf to determine a mean squared error ("MSE") of the output signals y1(n) and y2(n) lower than a predetermined threshold. The number of coefficients of the ADF is reduced, and the step of performing adaptive computation is repeated until the number of coefficients is a number m at which the MSE does not decrease. Finally, the step of performing adaptive computation is repeated, with the number of coefficients of m+1 or larger.