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Author Chandel, Nidhi ♦ Ahirwar, Rajesh B. ♦ Dubey, Rupesh
Source CiteSeerX
Content type Text
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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Signal Detector ♦ Cognitive Radio Network ♦ Low Signal ♦ Singular Value Decomposition ♦ Particle Swarm Optimization ♦ Spectrum Sensing ♦ Basic Component ♦ Wireless Communication ♦ Cognitive Radio ♦ Simulation Tion Result ♦ Primary Wireless Signal ♦ Rectangular Pulse ♦ Blind Spectrum ♦ Ed Svd Method ♦ Common Digital Signal
Abstract Abstract: Spectrum sensing is the basic component in cognitive radio. This paper examines the implementation of singular value decomposition (SVD) and particle swarm optimization (PSO) optimized ed SVD method. These methods are used to detect the presence of primary wireless signal. We simulated the algorithm using common digital signal in wireless communication namely rectangular pulse, raised cosine and root root-raised raised cosine to test performance of the signal detector. This algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown. Simulation tion results show that PSO optimized SVD gives better result in the low signal to noise (SNR) environment.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article