Chaotic characteristic based sensing for cognitive radio

Authors:
Junrong Gu;Sung Hwan Sohn;Jae Moung Kim;Minglu Jin
Affiliations:
INHA WiTLAB, Inha University, Incheon, Korea;INHA WiTLAB, Inha University, Incheon, Korea;INHA WiTLAB, Inha University, Incheon, Korea;School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 2
Cited 0

Entropy-based spectrum sensing in cognitive radio

Signal Processing
An ergodic approach for chaotic signal estimation at low SNR with application to ultra-wide-band communication

IEEE Transactions on Signal Processing

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Abstract

Chaotic phenomena are ubiquitous and widely existing. Signal detection based on chaotic characteristic has been a hot topic all along. In the mean time, Cognitive Radio also depicts a promising future for us. In this paper, for the first time signal sensing based on chaos is discussed. And the intriguing problems are also analyzed. Finally the simulation results verify that the sensing based on chaotic characteristic is prevailing to the current sensing method based on entropy.