Title :
Semi-blind detection method for cognitive Radio networks in multiple antenna systems
Author :
Ujjinimatad, Rohitha ; Patil, Siddarama R.
Author_Institution :
Dept. of Electron. & Commun., Ballari Inst. of Technol. & Manage., Ballari, India
Abstract :
In this paper, we consider the sensing methods based on the known noise level in cognitive radio (CR) networks under multi antenna systems and compare with the unknown noise level detection methods. The analysis is focused on energy detection (ED) and maximum eigenvalue based methods that require the knowledge of noise level. Threshold and detection performance of the maximum eigenvalue based method are expressed by closed analytical formulas. Random matrix theory is used to derive the expressions for threshold and probability of detection. The performance comparison of different sensing methods is provided through simulation analysis. Simulation results provide performance of various sensing methods for wireless microphone signals and independent and identically distributed (iid) signals.
Keywords :
antennas; cognitive radio; eigenvalues and eigenfunctions; matrix algebra; CR networks; ED; analytical formulas; cognitive radio networks; energy detection; maximum eigenvalue based methods; multiple antenna systems; noise level detection methods; random matrix theory; semiblind detection method; sensing methods; wireless microphone signals; Antennas; Eigenvalues and eigenfunctions; Noise level; Probability; Sensors; Signal to noise ratio; Cognitive radio; Eigenvalues; Energy detection; Multiple antenna; Random matrix; Spectrum sensing;
Conference_Titel :
Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR), 2013 Annual International Conference on
Conference_Location :
Kanjirapally
Print_ISBN :
978-1-4673-5150-8
DOI :
10.1109/AICERA-ICMiCR.2013.6575939
