A Comprehensive Study on Energy Detection and Cyclostationary Feature based Spectrum Sensing

Meenakshi Sansoy, Avtar Singh Buttar


Cognitive Radio plays an important role in the efficient utilization of limited spectra. Spectrum sensing can be d one with a number of techniques available like Energy Detection, Match Filter, Cyclostationary Detection, Wavelet Packet detection, etc. This paper includes the analysis of two basic techniques i.e., Energy Detection (ED) and Cyclostationary Feature Detection (CFD). The study focuses on the theoretical aspect of both the techniques supported by their simulation results. Results show the better performance of Cyclostationary Feature Detection in low SNR regime.


Keywords: Cognitive Radio; Spectrum Sensing; Energy Detection; Cyclostationary Feature Detection; Power Spectral Density

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DOI: https://doi.org/10.26483/ijarcs.v6i6.2549


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