Abstract
With the wide application of radio technology, spectrum resources are becoming more and more important. Cognitive radio is a new subject that is used to make full use of spectrum resources. The paper studies the spectrum sensing in cognitive radio and focuses on non-cooperative detection method. Based on the energy detection and analysis of the principle of feature detection in periodic stationary process. Using MATLAB for simulation analysis, making comparison of performance between the two methods. The detection performance of the periodic stationary process feature method is 5–7 dB better than the energy detection performance. And the system overhead is about an order of magnitude higher than energy detection.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Song, Z., Lv, Y., Zhang, Z. (2019). Realization and Performance Simulation of Spectrum Detection Based on Cyclostationarity Properties. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-030-22968-9_37
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DOI: https://doi.org/10.1007/978-3-030-22968-9_37
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