Adaptive Detection of a Stochastic Signal under Parametric a priori Uncertainty

We obtain a maximum likelihood algorithm for detecting a Gaussian stochastic signal with unknown appearance (disappearance) time and average power. Asymptotic expressions for the probabilities of the 1st- and 2nd-kind detection errors are found. Applicability limits for the derived expressions are found by statistical computer simulation.