Energy detector design for cognitive radio applications

Spectrum sensing is one of the key issues in cognitive radio. Among the techniques for signal detection, the energy detector (ED) is widely used due to its simplicity. However, setting the threshold for the energy detector requires some knowledge of the noise power level, which can be provided by suitable estimation methods. In this paper, we derive analytical expressions relating the threshold, the received signal-to-noise ratio (SNR), the probability of detection (PD) and the probability of false alarm (PFA), assuming a practical noise power estimator. The analysis can be used to design EDs that fulfill spectrum sensing requirements in cognitive radio (CR) scenarios.

[1]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[2]  R.W. Brodersen,et al.  Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[3]  K. V. Cai,et al.  Energy detector performance in a noise fluctuating channel , 1989, IEEE Military Communications Conference, 'Bridging the Gap. Interoperability, Survivability, Security'.

[4]  Don Torrieri,et al.  Principles of Spread-Spectrum Communication Systems , 2004 .

[5]  A. Sonnenschein,et al.  Radiometric detection of spreadspectrum signals in noise of uncertain power , 1992 .

[6]  M. Abramowitz,et al.  Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55) , 1965 .

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

[8]  R.F. Mills,et al.  A comparison of various radiometer detection models , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Gokhan Memik,et al.  Energy Detection Using Estimated Noise Variance for Spectrum Sensing in Cognitive Radio Networks , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[10]  D. A. Shnidman,et al.  Radar detection probabilities and their calculation , 1995 .

[11]  A. Ghasemi,et al.  Collaborative spectrum sensing for opportunistic access in fading environments , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[12]  Marco Chiani,et al.  New exponential bounds and approximations for the computation of error probability in fading channels , 2003, IEEE Trans. Wirel. Commun..

[13]  Anant Sahai,et al.  SNR Walls for Signal Detection , 2008, IEEE Journal of Selected Topics in Signal Processing.

[14]  H. Urkowitz.  Energy detection of unknown deterministic signals , 1967 .

[15]  Markku J. Juntti,et al.  CFAR strategies for channelized radiometer , 2005, IEEE Signal Processing Letters.

[16]  Andrea Giorgetti,et al.  Periodic Spectrum Sensing Performance and Requirements for Detecting Legacy Users with Temporal and Noise Statistics in Cognitive Radios , 2009, 2009 IEEE Globecom Workshops.