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Paper Details
Paper Title
Comparative analysis of Energy detection and Cyclostationary feature detection methods for AWGN, Rayleigh and Rician channels
Authors
  Aditya Raja,  Sabina Chaudhari,  Bhoomi Adroja
Abstract
As we know that now a days there is a huge advancement in wireless communication and its applications, efficient use of spectrum has been a great issue for researchers. Due to such issue, development in cognitive radio (the intelligent network) has been in demand which will analyze the spectrum to increase its efficiency by utilizing it properly. This paper focuses on sensing the spectrum in order to find out the licensed underutilized spectrum, to accommodate it to the secondary user without interfering the primary user. Two spectrum sensing methods, i.e. Energy Detection (ED) method and Cyclostationary feature detection (CFD) method are carried out over three fading channels (AWGN, Rayleigh, and Rician) at different SNR values were prior knowledge of the signal is not required. Similarly graph of such simulation has been resulted and compared in this paper. This simulation proves that at low SNR, CFD is used.
Keywords- Cognitive radio, Spectrum sensing, Energy detection spectrum sensing (ED), Cyclostationary feature detection spectrum sensing (CFD).
Publication Details
Unique Identification Number - IJEDR1502063Page Number(s) - 332-338Pubished in - Volume 3 | Issue 2 | May 2015DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Aditya Raja,  Sabina Chaudhari,  Bhoomi Adroja,   "Comparative analysis of Energy detection and Cyclostationary feature detection methods for AWGN, Rayleigh and Rician channels", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.332-338, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502063.pdf
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