무선인지시스템을 위한 Kullback-Leiber Divergence 기반의 스펙트럼 센싱 기법 = A Kullback-Leiber Divergence-based Spectrum Sensing for Cognitive Radio Systems

다국어 초록 (Multilingual Abstract)

In the paper, an information divergence called Kullback-Leiber divergence, which measures the average of the logarithmic difference between two probability density functions, is utilized to derive a novel method for spectrum sensing in cognitive radio systems. In the proposed sensing method, we test whether the observed samples are drawn from the noise distribution by using Kullback-Leiber divergence. It is shown by numerical results that under the same conditions, the proposed Kullback-Leiber divergence-based spectrum sensing always outperforms the energy detection based spectrum sensing significantly, especially in low SNR regime and in fading circumstance.