Performance evaluation of cyclostationary based spectrum sensing in cognitive radio network

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access approach. To identify the free spectrum is one of the most challenging issues in cognitive radio systems. This paper explores various sensing methods, their performance, applicability and effectiveness under different transmission conditions and advantages and disadvantages incorporated with each sensing method. In this paper we evaluate the performance of cognitive radio with energy detection based spectrum sensing (ED-SS) in AWGN, and cyclostationary feature is used for Spectrum sensing. In this paper the results of different windowing techniques are implemented along with their contour plots and a comparative study based on the simulation results is also proposed successfully. This technique based on window functions will be helpful to detect the primary user under low SNR conditions.