Title:Cooperative Spectrum Sensing Based on Generalized Likelihood Ratio Test for Cognitive Radio Channels with Unknown Primary User’s Power and Colored Noise
VOLUME: 8 ISSUE: 3
Author(s):Shahriar Shirvani Moghaddam* and Ameneh Habibzadeh
Affiliation:Digital Communications Signal Processing (DCSP) Research Lab., Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University (SRTTU), 1678815811, Lavizan, Tehran, Digital Communications Signal Processing (DCSP) Research Lab., Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University (SRTTU), 1678815811, Lavizan, Tehran
Keywords:Cognitive radio, colored noise, cooperative, GLRT, primary user, secondary user, spectrum
sensing.
Abstract:Background & Objective: This paper proposes a modified eigenvalue-based Generalized
Likelihood Ratio Test (GLRT). The proposed model is appropriate for cognitive wireless radio system
under colored noise and unknown primary user's power. Herein, we introduce an optimization problem,
which maximizes the detection probability under the constraints of false alarm, sensing time, the
weighting of eigenvalues, and Energy Efficiency (EE). In addition, we improve the detection probability
by achieving the proper number of cooperative secondary users using the power method.
Conclusion: Simulation results show that the computational complexity of the proposed method is
lower than that for traditional methods, Energy Detection (ED) and Eigenvalue-Based (EVB).
