文章基本信息

标题：GA optimized SVD based signal detector for Cognitive radio Networks
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作者：Nidhi Chandel ; Rajesh B. Ahirwar
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2013
卷号：2
期号：6
页码：2052-2055
出版社：Shri Pannalal Research Institute of Technolgy
摘要：This paper examines the implementation of the Genetic Algorithm (GA) optimized Singular Value Decomposition (SVD) method to detect the presence of wireless signal. We simulated the algorithm using common digital signal in wireless communication namely rectangular pulse, raised cosine and root-raised cosine to test performance of the signal detector. The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown. The GA optimized SVD gives better result in the low signal to noise (SNR) environment.
关键词：Cognitive radio; Genetic algorithm; signal ; detector; singular value decomposition (SVD); spectrum ; sensing.