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Spectrum Sensing using Cognitive Radio Network: Energy Detection Technique and its Analysis

Jagrati Gupta, Saahiba Katare, Shefali Sharma

Abstract


Spectrum sensing is the important facilitator of Cognitive Radio (CR) as it provides an easy channel for the detection of inert spectrum. It can be effectuated by the use of copious methods but the only method which is easy to carry through is the Energy Detection (ED) method which can be used under an Additive White Gaussian Noise (AWGN) as it never demands of the property of the signal that is being transmitted, the information of the channel and the variation in modulation. Also, due to its effortless circuit implementation it is widely considerable method among all. This piece of our research presents the substructure of energy detection which has been capitalized on by the help of Constant False Alarm Rate (CFAR) and for threshold setting in energy detection, the Neyman-Pearson (NP) criterion has been used. The upshot of our work conveys that if we fine-tune the detection threshold on the basis of noise level that is observed during the detection then, the probability of detection will show a spike as compared to the probability received while dealing with fixed threshold value.

 

Keywords: Cognitive radio, additive white gaussian noise, constant false alarm rate, energy detection, neyman-pearson.


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References


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