This paper is published in Volume-3, Issue-1, 2017
Area
Cognitive Radio
Author
Yamini Likhar, Mrs. Shiva Bhatnagar
Org/Univ
Patel College of Science and Technology, Indore, Madhya Pradesh, India
Pub. Date
03 February, 2017
Paper ID
V3I1-1302
Publisher
Keywords
Spectrum sensing, Cognitive radio, Energy detection, Wavelet Transform, Different Wavelet family.

Citationsacebook

IEEE
Yamini Likhar, Mrs. Shiva Bhatnagar. A Review on Performance Analysis of Energy Detection Technique for Cognitive Radio over Different Wavelet Family, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Yamini Likhar, Mrs. Shiva Bhatnagar (2017). A Review on Performance Analysis of Energy Detection Technique for Cognitive Radio over Different Wavelet Family. International Journal of Advance Research, Ideas and Innovations in Technology, 3(1) www.IJARIIT.com.

MLA
Yamini Likhar, Mrs. Shiva Bhatnagar. "A Review on Performance Analysis of Energy Detection Technique for Cognitive Radio over Different Wavelet Family." International Journal of Advance Research, Ideas and Innovations in Technology 3.1 (2017). www.IJARIIT.com.

Abstract

Spectrum scarcity is one of the major problem focuses within the wireless communication technology. It's inefficient utilization of the electromagnetic spectrum tends to provide the development of the cognitive radio (CR). Cognitive radio is one of the emerging technology in wireless communications in which a network or a user flexibly changes its transceiver parameters to achieve more efficient communication performance without interfering with licensed or unlicensed users by the process so-called dynamic spectrum sensing. This allows better utilization of the unoccupied spectrum and high spectrum efficiency usage. In this paper, we are detecting the presence and absence of the primary user signal by using one of the detection techniques so-called energy detection techniques using WPT.Energy detection based spectrum sensing technique is used using the different type of the wavelet family i.e. Mexican, Morlet, Meyer, Biorthogonal wavelet.