Parametrically Nonparametric Detection of a Multiplicative Signal against Background Noise with Unknown Intensity

摘要

The detection of a multiplicative signal is considered in the case when the received random process can be described in terms of the ε-contamination model. Decision rules are synthesized with the use of the known least favorable probability distribution (LFPD) under an assumption that the LFPD parameters are unknown a priori. For this LFPD, methods for overcoming the parametric a priori ambiguity are employed.