Abstract
Cognitive radio is an upcoming new technology for future wireless generations for its reconfigurability and adapting in nature under environment change. Spectrum sensing (SS) is one of the great important functionalities of cognitive radio to analyze and learn its surrounding radio environment. The main objective of the spectrum sensing is to achieve maximum amount of probability of detection and minimize complexity of the system. Here, there are three spectrum sensing techniques analyzed which are classified based on its transmitter detection such as energy detector (ED), cyclostationary feature detection (CFD), and matched detector (MD). Spectrum sensing techniques are implemented in software MATLAB and Simulink. Results of all these techniques are discussed here with individual FFT spectrum graphs.
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Bani, K., Kulkarni, V. (2018). Simulink-Based Estimation of Spectrum Sensing in Cognitive Radio. In: Saini, H., Singh, R., Reddy, K. (eds) Innovations in Electronics and Communication Engineering . Lecture Notes in Networks and Systems, vol 7. Springer, Singapore. https://doi.org/10.1007/978-981-10-3812-9_41
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DOI: https://doi.org/10.1007/978-981-10-3812-9_41
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