An Adaptive Double-Threshold Spectrum Sensing Algorithm under Noise Uncertainty

Spectrum sensing is a very important technique in cognitive radio system. Matched filter detection, cyclostationary feature detection and energy detection are traditional and classical algorithms in spectrum sensing technology in cognitive radio system. Since energy detection is simple, and it does not require the priori information, energy detection based spectrum sensing has been proposed and studied widely. Collisions between the cognitive user and the primary user are sensitive and significant to detection performance. In this paper, an adaptive double-threshold spectrum sensing algorithm is proposed to solve the problem, which detection probability would be declined when signal to noise rate decreases under noise uncertainty. Theoretical analysis and simulation show that the spectrum detection performance can be improved more significantly and interference level to the primary user can be declined when noise is uncertain.

[1]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[2]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[3]  Yonghong Zeng,et al.  Maximum Eigenvalue Detection: Theory and Application , 2008, 2008 IEEE International Conference on Communications.

[4]  Zheng Zhou,et al.  Energy Detection Based Spectrum Sensing for Cognitive Radios in Noise of Uncertain Power , 2008, 2008 International Symposium on Communications and Information Technologies.

[5]  R. Tandra,et al.  Fundamental limits on detection in low SNR under noise uncertainty , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[6]  J. Mitola,et al.  Cognitive radio for flexible mobile multimedia communications , 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384).

[7]  K. Gomathi,et al.  Spectrum Sensing methods for Cognitive Radio , 2014 .

[8]  Tao Luo,et al.  An Energy Detection Algorithm Based on Double-Threshold in Cognitive Radio Systems , 2009, 2009 First International Conference on Information Science and Engineering.

[9]  Shibing Zhang,et al.  An Adaptive Spectrum Sensing Algorithm under Noise Uncertainty , 2011, 2011 IEEE International Conference on Communications (ICC).

[10]  Joseph Mitola.  Cognitive Radio for Flexible Mobile Multimedia Communications , 2001, Mob. Networks Appl..

[11]  Roberto Garello,et al.  Comparison of spectrum sensing methods for cognitive radio under low SNR , 2011, 2011 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications.