Title: Self-critical detection of signals: narrowband and stochastic signal representations

Authors: Ndeh Ntomambang Ningo

Addresses: Department of Electrical and Electronic Engineering, College of Technology, University of Buea, P.O. Box 63, Buea, Cameroon

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.

Keywords: self-critical locally optimum receivers; SCLOR; self-critical weight; SCW; self-critical parameters; information generating function; IGF; signal detection; stochastic signals; impulsive noise.

DOI: 10.1504/IJSCC.2011.043763

International Journal of Systems, Control and Communications, 2011 Vol.3 No.4, pp.402 - 426

Published online: 31 Mar 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article