alexa Abstract | Comparative Analysis of the Spectrum Sensing Techniques Energy Detection and Cyclostationary Feature Detection
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

cognitive radio is the solution for effectively utilizing the underutilized radio spectrum. There are many techniques to sense spectrum using cognitive radios like matched filter detection, energy detection, waveform based detection, cyclostationary feature detection and so on. In this paper comparative analysis of two popular techniques i.e. energy detection (ED) and cyclostationary feature detection (CFD) is discussed. Analysis is carried out by discussing the theoretical aspect of both the techniques supported by simulation graphs and plots. This analysis shows that among the two techniques discussed CFD shows better results

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): R.Gill, A.Kansal

Keywords

Cognitive Radio, Energy Detection, Cyclostationary Feature Detection., Spectrum Pathology

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords