Cognitive radio is an intelligent radio network that has the capability of recognizing when the spectrum is idle and unused by the licensed users to allot those frequencies to unlicensed users, thus increasing spectral efficiency. Spectrum sensing is a significant step in cognitive radio. Its senses the spectrum of interest to identify the presence or absence of a primary or a licensed user and detects spectrum holes. Cooperative spectrum sensing enhances spectrum sensing as it improves the spectrum efficiency by exploiting spatial diversity. In this paper, we have discussed the three most popular sensing techniques which are; energy detection, cyclo-stationary feature detection, and matched filter technique and performed a comparative analysis on parameters like sensing time, requirement of priori knowledge, and throughput.
Kamath, H Srikanth
"Comparative analysis of cooperative sensing techniques in cognitive radio,"
Manipal Journal of Science and Technology: Vol. 3:
1, Article 6.
Available at: https://impressions.manipal.edu/mjst/vol3/iss1/6