Comparison between Spectrum Sensing in Cognitive Radio Systems

Nowadays spectrum allocation could be a large problematic space for the wireless communication. Here, for the unauthorized users to use the licenced spectrum, unused frequency bands known as white areas have to be compelled to be detected. Cognitive radio will this task by dynamic spectrum access. This needs intelligent spectrum sensing techniques. To account for spectrum scarceness drawback and spectrum underutilization the cognitive radio comprehensive of spectrum sensing has been incorporated. One among the foremost vital factors of spectrum sensing for cognitive radio network is sensing accuracy. There are several spectrum sensing strategies are offered. Among that matched filter methodology and cyclostationary feature based mostly methodology performances are being compared underneath high noise and conjointly the performance of the system is being compared underneath numerous noise models as AWGN, Rician and Rayleigh to supply the simples spectrum sensing results.