Identification of linear stochastic systems via second- and fourth-order cumulant matching
IEEE Transactions on Information Theory
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
MA identification using fourth order cumulants
Signal Processing
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A new adaptive blind system identification scheme is proposed for a non-Gaussian white-noise-driven linear, nonminimum phase finite impulse response (FIR) system. A two-step coarse-to-fine identification procedure is developed. Utilizing the fourth-order cumulants of the system output, the method changes the nonlinear identification problem in the cumulant domain into a linear problem to make the algorithm converge. The whole set of cumulants available is involved in the identification procedure to speed up the convergence. Theoretical results are given and computer simulation results are also presented in support of the theory.