This paper is published in Volume-3, Issue-2, 2017
Area
Cognitive Radio
Author
Preeti Garud, Shivangini Morya
Org/Univ
Sagar Institute of Research and Technology, Bhopal, Madhya Pradesh, India
Pub. Date
10 March, 2017
Paper ID
V3I2-1189
Publisher
Keywords
Primary User, Secondary User, Spectrum Sensing & Window Technique.

Citationsacebook

IEEE
Preeti Garud, Shivangini Morya. A Review on Performance Analysis of Energy Detection Technique for Cognitive Radio over Different Windowing Techniques, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Preeti Garud, Shivangini Morya (2017). A Review on Performance Analysis of Energy Detection Technique for Cognitive Radio over Different Windowing Techniques. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.

MLA
Preeti Garud, Shivangini Morya. "A Review on Performance Analysis of Energy Detection Technique for Cognitive Radio over Different Windowing Techniques." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.

Abstract

The Spectrum is based on the tremendous growth in the wireless communication network which raises the demand of the frequency user.The most efficient way of allocating spectrum and reliable spectrum sensing is Dynamic spectrum allocation. Cognitive radio is one of the emerging technology in wireless communications in which a network can flexible changes its transceiver parameter. The Primary user can take the priority decision to detect the presence of the primary user, this can be done by a technology so-called cognitive radio. This can happen if we prefer the appropriate window technique to evaluate system parameter for sensing the availability of vacant band. We show that by comparing the different windows techniques, cognitive radios not only provide better spectrum opportunity but also provide the chance to a huge number of wireless users. In this paper Energy detection based Spectrum Sensing with different windowing methods i.e. rectangular and hamming are developed, that uses to detect the energy of the received signal. We detect the spectral correlation between the two peaks of the signal to sense the presence of the primary user.Therefore windowing strategies are used for improves system performance by reducing spectrum leak. The comparative analysis using different windowing methods shows in Energy detection method.
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