Blind system identification using model based matching method

A method for the blind identification of a set of spatially varying transfer functions is described. The techniques proposed herein are based on model matching of Fourier coefficient sensitivity vectors of the channel transfer function, which can be nonlinear in the unknown parameters, with a set of eigenvectors obtained from data deviation covariance matrices. The salient difference between this technique and the usual channel subspace methods is that no FIR structure for the individual transfer functions is assumed. Instead we assume that the frequency response as a function of the parameters is known which is often the case in wave transmission problems