Efficient Cyclostationary Detection Based Spectrum Sensing in Cognitive Radio Networks

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2015 by IJETT Journal
Volume-19 Number-4
Year of Publication : 2015
Authors : P. Venkatramana, S. Narayana Reddy
DOI :  10.14445/22315381/IJETT-V19P235


P. Venkatramana, S. Narayana Reddy "Efficient Cyclostationary Detection Based Spectrum Sensing in Cognitive Radio Networks", International Journal of Engineering Trends and Technology (IJETT), V19(4), 195-200 Jan 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group


As the customers in wireless communication becoming crowdy and it becomes an important to tackle the spectrum scarcity problem. Most of TV licensed spectrum band, users only utilize their chosen resources partially, thus force the need of cognitive radios (CR) which offers the capable feature of accessing the unused spectrum by dynamic spectrum. In this paper, we are presenting the cyclostationary detection method for estimation and spectral autocorrelation function technique to analyze the spectrum. We used cyclostationary feature detection under modulation scheme to detect the primary users at very low SNR and enhancing cyclostationary feature detection with peak detection algorithm for effective performance. To reduce the noise peaks in the cyclostationary output absolute threshold, standard deviation and filtfilt are the techniques used to get a better efficiency for signal detection.


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Cyclostationary, Correlation Function, autocorrelation functions, cyclic frequency, Spectral Coherence.