IDR Logo

Please use this identifier to cite or link to this item:
Title: Development and performance evaluation of blind eigenvalue to noise power ratio detector for co-operative spectrum sensing
Authors: Masal A.A.
Panda G.
Keywords: Co-operative spectrum sensing
Cognitive radio (CR)
Probability of detection (Pd)
Probability of false alarm (Pfa)
Random matrix theory (RMT)
Sample covariance matrix
Issue Date: 2014
Abstract: Cognitive Radio (CR) is considered as a significant evolution in wireless communication. Spectrum sensing is one of the important issues of the CR. This paper proposes a blind technique for cooperative spectrum sensing in MIMO scenario. The proposed algorithm employs the ratio of maximum eigenvalue of sample covariance matrix to the estimated noise power, as test statistic for achieving improved spectrum sensing. The expression for probability of false alarm is calculated using random matrix theories (RMT). Based on this, expressions for threshold and probability of detection are formulated. Simulation results of proposed method are obtained and verified with other spectrum sensing methods. The comparison demonstrates superior performance of the proposed method over the other methods. � 2014 IEEE.
Appears in Collections:Research Publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.