Blind deconvolution for the generalized ar model

Applying the convex cost function Lc: to the blind deconvolution of general non-minimum phase AR(u) models is studied.A simple and realizable constraint is proposed for the L^ deconvolution.With this constraint, except for a gain.the model parameter is the unique solution of the L:o deconvolution.The strong consistency of the estimator of the model parameter defined by the sample version of L^ norm is presented.An algorithm is suggested for the iterative computation of the estimator.Simulation examples show the proposed approach works well for apprepriate blind equalization problems.