Self-critical detection of signals: narrowband and stochastic signal representations
by Ndeh Ntomambang Ningo
International Journal of Systems, Control and Communications (IJSCC), Vol. 3, No. 4, 2011

Abstract: The concept of self-critical locally optimum receivers (SCLORs) developed for lowpass signals are extended to the detection of known and stochastic signals in lowpass and narrowband noise. It is shown that the self-critical locally optimum detectors for stochastic signals implement a statistic which depends on an adaptive weighting factor and on the conventional zero-memory non-linearities for both known and stochastic signal detectors. The weighting factor, which depends on the probability density function of the prevailing noise, is responsible for the self-criticism of the detector. It is shown that self-critical detectors are most appropriate for impulsive noise environments.

Online publication date: Tue, 31-Mar-2015

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