Abstract
The basic concept of robustfield maximum likelihood (ML) method for identification of the parameterized model of the multipath communication channels with scattering is introduced as required for communication channel modeling. Employing the descriptive regularization in the ML estimation strategy performs the robustification of the ML estimator. The proposed robustfield ML parameter estimation algorithms when used in the space-time identification of the models of the communication channels has an advantage over the conventional ML estimator because it permits the identification of the channels with closely spaced multipaths. The formulae for the Fisher's information matrix and Rao-Cramer bounds for the variances of the ML estimates of the parameters of interest of the multipath signal are derived.
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