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Implementation and Evaluation of Cognitive Algorithms Applied to a Software Defined Radio Approach

Autor : Daniel Töws
Betreuer : Prof. Dr.-Ing. Uwe Meier
Typ : Master
Kurzbeschreibung :

Typically, cognitive radios try to detect and utilize free gaps in the radio environment. Therefore, a solution for detecting primary user systems is highly desirable. A neuro-fuzzy signal classifier could be a solution for this.
In this thesis, a neuro-fuzzy signal classification algorithm was evaluated in a wideband software-defined-radio-based implementation. The evaluation was performed in six heterogeneous and harsh selected industrial scenarios. The classification performance for WLAN and Bluetooth systems with different duty cycles will be shown.

Kontakt : Prof. Dr.-Ing. Uwe Meier
Datei : 2014-Toews-Master-HP.pdf