Abstract
In cognitive radio, the detection of an unused band to exploit it opportunistically is the most difficult problem. Cognitive radios must have the ability to detect primary users efficiently and even in any signal-to-noise ratio (SNR). Spectrum sensing based on energy has shown its efficiency only in a high signal-to-noise ratio [1]. While cognitive radio must also be able to effectively detect primary users, even in a low ratio (SNR). This difficulty can be overcome by exploiting the cyclostationary signatures exposed by signal communication. The cognitive method of detection of the radio spectrum considered in this work is the cyclostationary spectral analysis for the detection of the unused bands using the FFT accumulation method. A simulation is performed in the Matlab environment to perform the different steps of the cyclic spectrum estimation technique.
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Khatbi, O., Hachkar, Z., Mouhsen, A. (2018). Cyclostationary Spectrum Sensing Based on FFT Accumulation Method in Cognitive Radio Technology. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_51
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DOI: https://doi.org/10.1007/978-3-319-77712-2_51
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