SELF-CRITICAL PROCEDURES IN SIGNAL DETECTION PART I: STRUCTURAL CHARACTERIZATION

Ndeh Ntomambang Ningo

   This paper presents a set of new receiver structures for the detection of weak signals in non- Gaussian noise. The receiver structures result from an extension of the likelihood ratio based on the information generating function of a density. These detectors are termed self-critical in that the assumed noise probability density function serves as an adaptive factor in the information processing algorithm by being continuously used in assessing the degree of agreement between data and model. The self-criticism and the extension of the likelihood ratio depend on a parameter k which is under operator control.

Keywords: self-critical procedure, locally optimum receiver, self-critical log-likelihood ratio

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