Application of maximum-likelihood method for robust detection algorithms of signals with uncertain parameters synthesis

摘要

An asymptotically robust detection algorithms of signals with uncertain parameters in the presence of independent noise of arbitrary level with a priory unknown distribution is developed on the basis of maximum -likelihood method and invariance principle. The algorithm is uniformly optimum according to the minimax criterion with respect to unknown signal parameters.