Institute for Theoretical Information Technology

Cyclostationary Spectrum Sensing

Cyclostationary feature detection is one possibility to improve the detection probabilities in spectrum sensing. Based on the OFDM Testbed we implemented a Cognitive Radio enabled communication link where the receiver can determine certain signal parameters based on intentionally embedded cyclostationary features. The transmitter alters the subcarrier structure of the transmitted OFDM signal in a specific way in order to embed information about the occupied bandwidth and the modulation scheme that is used. The features are also used for carrier frequency acquisition.

Related research topics and publications

• J. Schmitz, M. Zivkovic, R. Mathar, Extended Cyclostationary Signatures for OFDM in the Presence of Hardware Imperfections, Frequenz: Journal of RF-Engineering and Telecommunications, vol. 66, no. 9-10, pp. 293-302, September 2012.
• J. Schmitz, M. Zivkovic, R. Mathar, Extended Cyclostationary Signatures for OFDM-Based Cognitive Radio, Proceedings: 7th Karlsruhe Workshop on Software Radios, Karlsruhe, Germany, March 2012.
• M. Zivkovic, J. Schmitz, R. Mathar, Acquisition and Identification of OFDM Signals using Cyclostationary Signatures, Proceedings: ACM WiNTECH 2011, Las Vegas, USA, September 2011.

Related student work

• Diploma Thesis - Implementation and Performance Analysis of Cyclostationary Signature Detection for OFDM-based Cognitive Radio Applications

Contact

For further information contact Johannes Schmitz.