Abstract
A novel two-step algorithm is proposed for blind identification (BID) of a discrete-time K-input P-output (P ≥ K and P < 1) finite impulse response system F(z) = (F <sub>1</sub> (z),F <sub>K</sub> (z)) driven by K stationary non-Gaussian inputs which are spatially independent but temporally colored. With each input modelled as a moving-average process with model B <sub>k</sub> (z), Chi et al.'s BID algorithm using higher-order statistics based inverse filter criteria is utilized to estimate the combined system H(z) =(F <sub>1</sub> (z)B <sub>1</sub> (z),., F <sub>K</sub> (z)B <sub>K</sub> (z)) in the first step. In the second step, Qiu et al.'s greatest common divisor computation method is employed to obtain F <sub>k</sub> (z) and B <sub>k</sub> (z) from the estimated H(z)-Some simulation results are presented to support the efficacy of the proposed 2-Step BID algorithm.