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Periodogram Spectrum Sensing Using Blackman Tukey Method in Matlab

Wireless communication is the fastest growing industry from many aspects. Increasing number of users imposes bandwidth constraints on the communication system. Cognitive Radio (CR) finds the solution to this problem and uses the free portion of the spectrum. Energy based spectrum sensing is the simplest way and in frequency domain it can be performed by using Periodogram based spectrum sensing. In this paper we describe Periodogram spectrum sensing technique using Blackman Tukey method. Probability of detection and false alarm are figure of merits for the analysis of this technique. Moreover the simulation results are carried out using different channel taps, varying channel lengths and with the help of different windowing functions using MATLAB.