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Projekt Druckansicht

Ein vereinheitlichendes Rahmenwerk zur Detektion von Zyklostationarität mit Anwendungen auf Interweave Cognitive Radio

Antragsteller Professor Peter Schreier, Ph.D., seit 2/2016
Fachliche Zuordnung Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme, Sensorik, Theoretische Elektrotechnik
Förderung Förderung von 2015 bis 2020
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 280558790
 
Erstellungsjahr 2020

Zusammenfassung der Projektergebnisse

Cyclostationary signals can model periodic phenomena occurring in a wide range of areas in science and technology, including communications, meteorology, oceanography, climatology, astronomy, and economics. The detection of CS signals is a particularly important problem. First of all, if signals are CS, then this fact should be exploited in their processing for the best performance, but on the other hand, attempting to use properties of CS signals, when in fact they are not CS, leads to decreased performance. Secondly, the presence or absence of CS signals can be used to trigger other actions. For instance, detection of CS signals is a key ingredient in the dynamic spectrum management of interweave cognitive radio, where cognitive users are allowed to access unused licensed bands. This requires testing for the presence of licensed users, which transmit CS signals. Additionally, in a passive radar system, cyclostationarity detection can be used to detect and localize targets. Because detection of cyclostationarity is such an important problem, many detectors have been proposed for it. However, a close analysis of these detectors reveals that most of the proposed techniques are not based on sound statistical theory. While they may be sensible ad-hoc detectors, they do not offer any kind of optimality. Moreover, most of these detectors make unrealistic assumptions such as known cycle period or not accounting for the fact that sampled CS signals are generally only almost CS. Thus, the main objective of our project was the development of detectors for cyclostationarity based on solid statistical arguments, without the need for unrealistic simplifying assumptions.

Projektbezogene Publikationen (Auswahl)

 
 

Zusatzinformationen

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