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A Sliding Window-Based Energy Detection Method under Noise Uncertainty for Cognitive Radio Systems  

Kim, Young-Min (인하대학교 정보통신대학원 무선전송연구실)
Sohn, Sung-Hwan (인하대학교 정보통신대학원 무선전송연구실)
Kim, Jae-Moung (인하대학교 정보통신대학원 무선전송연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.33, no.11A, 2008 , pp. 1105-1116 More about this Journal
Abstract
Cognitive radio is one of the most effective techniques to improve the spectrum utilization efficiency. To implement the cognitive radio, spectrum sensing is considered as the key functionality because only counting on it, can the secondary users identify the spectrum holes and utilize them efficiently without causing interference to primary users. Generally, there are several spectrum sensing methods; the most common and simplest method is energy detection. However, the conventional energy detection has some disadvantages, which are caused by noise, especially, uncertain noise power leads to degradation of energy detector. In this paper, to solve this problem, we proposed sliding window-based energy detection method which can devide the frequency band of primary signal and noise using sliding window to estimate the power of primary user without the noise effect and achieve the better performance. It can calculate the energy of primary user only and can detect the primary signal. The simulation result shows that our proposed method outperforms conventional one.
Keywords
Cognitive radio; Spectrum sensing; Energy detection; Sliding window; Noise Uncertainty;
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