SPECTRUM SENSING IN COGNITIVE RADIO NETWORKS WITH KERNEL LEAST MEAN SQUARE
Spectrum sensing is a key technology in cognitive radio networks to detect the unused spectrum. Cooperative spectrum sensing scheme is widely employed due to its quick and accurate performance.This design uses the same scheme in the reference paper but for the different adaptive filter as listed below.
A. KLMS
B. LMS
C. NLMS
D. RLS
E. KRLS
F. KalmanFilter
Simulation results based on Learning curves, Probability of detection for (KLMS, NLMS, LMS, RLS, KRLS, Kalman,) and three other decision fusion methods: AND, OR, and Majority Rules.Finally Probability of Detection for different users SNR and user numbers.
Reference Paper-1: Cooperative Spectrum Sensing in Cognitive Radio Networks with Kernel Least Mean Square
Author’s Name: Xiguang Xu, Hua Qu, Jihong Zhao and Badong Chen
Source: IEEE -5th International Conference on Information Science and Technology (ICIST)
Year:2015
Reference Paper-2: A Novel Adaptive Fusion Scheme For Cooperative Spectrum Sensing
Author’s Name: Imen NASR and Sofiane CHERIF
Source: 2012 IEEE Vehicular Technology Conference (VTC Fall)
Year:2012
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SIMULATION VIDEO DEMO
