Performance Evaluation of Spectrum Sensing Techniques in Cognitive Radio Network
نویسنده
چکیده
Cognitive radio (CR) is a promising technique that offers a solution to the spectrum scarcity problem by dynamically exploiting the underutilization of the spectrum among the bands. There are numerous procedures to detect spectrum using CRs like energy detection (ED), matched filter detection (MFD), cyclostationary feature detection (CFD), waveform based detection (WBD) and so on. In this paper, the most popular techniques i.e. ED, MFD and CFD and their comparative analysis are discussed. Investigation is done by discussing theoretical aspect of the spectrum sensing techniques that are based on primary transmitter detection and receiver operating characteristics (ROC) of “Energy based detection”, “Matched filter detection” and “Cyclostationary feature detection” in AWGN and we also validate ROC at different SNRs and evaluated for their detection performance. This analysis shows that CFD shows better results among the three techniques as discussed.
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