GA optimized SVD based signal detector for Cognitive radio Networks 

Abstract

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.  

Authors and Affiliations

Nidhi Chandel , Rajesh B. Ahirwar

Keywords

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  • EP ID EP98868
  • DOI -
  • Views 109
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How To Cite

Nidhi Chandel, Rajesh B. Ahirwar (2013). GA optimized SVD based signal detector for Cognitive radio Networks . International Journal of Advanced Research in Computer Engineering & Technology(IJARCET), 2(6), 2052-2055. https://europub.co.uk/articles/-A-98868