Identification of the multipath parameters of propagation channels with scattering

摘要

The basic concept of robustified 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 robustified ML parameter estimation algorithm 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 (time delays and angles of arrival) of the multipath signal are derived.