Abstract
In the Cognitive Radio system, cognitive users require perceiving the real-time using of the spectrum accurately. At the same time, the cognitive user stations are usually in severe fading or interference. Energy detection is used widely due to the low computation complexity and an effective method under the high SNR, but it is impressionable by the noise. According to these facts, we propose to use the coefficient of variation (CV) of the sampled signals to amend the judgment result and get the blending final result. After the energy detection, if the test statistic of the signal energy is within a specified range and the signal CV is less than a threshold value, it concludes that the spectrum bands are occupied by another user. The simulation results prove that the rectification method can greatly improve the cognitive user’s accurate detection performance of spectrum usage in real-time while ensuring the computation complexity.
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Zhang, W., Jing, X., Li, J. (2018). An Energy Detection Based on Coefficient of Variation for Spectrum Sensing in Cognitive Radio. In: Sun, S., Chen, N., Tian, T. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2017. Lecture Notes in Electrical Engineering, vol 473. Springer, Singapore. https://doi.org/10.1007/978-981-10-7521-6_11
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DOI: https://doi.org/10.1007/978-981-10-7521-6_11
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