Title :
On the Performance of Covariance Based Spectrum Sensing for Cognitive Radio
Author :
Jin, Ming ; Li, Youming ; Ryu, Heung-Gyoon
Author_Institution :
Coll. of Inf. Sci. & Eng, Ningbo Univ., Ningbo, China
fDate :
7/1/2012 12:00:00 AM
Abstract :
In this paper, the distribution of the test-statistic for the covariance based detection (CBD) is studied in order to obtain the mathematical expressions of false alarm probability (Pf) and detection probability (Pd) . The formulation of decision threshold λ for any Pf is also presented. The expression of Pd allows to evaluate the performance of the CBD technology. Finally, the decision threshold, as well as the derived Pf and Pd , is verified with Monte-Carlo simulations.
Keywords :
Monte Carlo methods; cognitive radio; performance evaluation; probability; CBD technology; Monte-Carlo simulations; cognitive radio; covariance based detection technology; covariance based spectrum sensing; detection probability; false alarm probability; mathematical expressions; performance evaluation; Antennas; Correlation; Covariance matrix; Eigenvalues and eigenfunctions; Noise; Sensors; Vectors; Cognitive radio; covariance based detection; performance analysis; spectrum sensing;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2012.2194708