Improved Wavelet-Cusum Spectrum Sensing Algorithm in Cognitive Radio Network
P. Kalpana Devi1, J. Rajalakshmi2
1Ms. P. Kalpana Devi, Associate Professor, Prathyusha Institute of Technology and Management, Aranvoyalkuppam, Thiruvallur, India.
2Ms. J. Rajalakshmi, ECE Student, Prathyusha Institute of Technology and Management, Aranvoyalkuppam, Thiruvallur, India.
Manuscript received on November 24, 2014. | Revised Manuscript received on December 17, 2014. | Manuscript published on December 30, 2014. | PP: 191-194 | Volume-4 Issue-2, December 2014. | Retrieval Number: B3680124214/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the recent days, the development in the field of communication devices leads to the wide usage of spectrum. Since the availability of spectrum was limited, cognitive radio technique was adopted for spectrum sensing. In spectrum sensing number of uncertain conditions were present which may degrade the sensing performance and require much time to achieve target sensing algorithm. In the existing system the energy based spectrum sensing technique and sequential detection algorithm were used. In this proposed system, Sequential Detection CUSUM algorithm is used to improve the probability of false alarm by applying the cumulative distribution function, trapezoidal rule for the distribution function of the secondary user. In this wavelet based spectrum sensing technique is used, the wavelet decomposition can found the vacant frequency bands effectively. When comparing with the existing and wavelet based cusum spectrum sensing, it provide better observation values more than 75 % for the probability of miss detection and the probability of false alarm.
Keywords: Cognitive radio, Spectrum sensing, Wavelet based sensing, CUSUM algorithm.