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Mobile Information Systems
Volume 2016 (2016), Article ID 3848734, 8 pages
Research Article

On the Eigenvalue Based Detection for Multiantenna Cognitive Radio System

1School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China
2Department of Information and Communication Engineering, INHA University, Incheon 402-751, Republic of Korea

Received 29 December 2015; Revised 4 April 2016; Accepted 5 May 2016

Academic Editor: Yunfei Chen

Copyright © 2016 Syed Sajjad Ali et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Eigenvalue based spectrum sensing can make detection by catching correlation features in space and time domains, which can not only reduce the effect of noise uncertainty, but also achieve high detection probability. Hence, the eigenvalue based detection is always a hot topic in spectrum sensing area. However, most existing algorithms only consider part of eigenvalues rather than all the eigenvalues, which does not make full use of correlation of eigenvalues. Motivated by this, this paper focuses on multiantenna system and makes all the eigenvalues weighted for detection. Through the analysis of system model, we transfer the eigenvalue weighting issue to an optimal problem and derive the theoretical expression of detection threshold and probability of false alarm and obtain the close form expression of optimal solution. Finally, we propose new weighting schemes to give promotions of the detection performance. Simulations verify the efficiency of the proposed algorithms.