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TitleBlind detection of wideband interference for cognitive radio applications
Publication TypeJournal Article
Year of Publication2009
AuthorsCoulson, A.J.
JournalEurasip Journal on Advances in Signal Processing
Date Published2009
ISSN16876172 (ISSN)
KeywordsBlind detection, Cognitive radio, Cognitive radio technologies, Cognitive systems, Competing systems, computer simulation, Detectors, Edge enhancements, Energy detectors, Heterogeneous systems, Hypothesis tests, Interference temperature, Overall efficiency, Power spectral analysis, Radio, Robust operation, Signal detection, Spectroscopy, Spectrum access, Spectrum Analysis, Spectrum analyzers, Spectrum usage, Wide-band, Wide-band interference
AbstractCognitive radio technologies are being developed which allow heterogeneous systems to share spectrum access while minimizing interference to improve the overall efficiency of spectrum usage. Thus, one important function of a cognitive radio is dynamically to avoid transmitting in occupied spectrum by detecting signals received from unknown competing systems. Robust operation requires the detection of multiple wideband interferers of unknown statistics from a single received sample vector. This paper describes the hypothesis tests that must be evaluated to perform detection of such signals and discusses several methods for performing detection. Computer simulation results are presented to show that hidden Markov modelling and power spectral analysis with edge enhancement are more robust than a simple interference temperature- based energy detector. © 2009 Alan J. Coulson.

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