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

Related Articles

ition-based Opportunistic Routing for Highly Dynamic MANETSition-based Opportunistic Routing for Highly Dynamic MANETS 

This paper solves the problem of delivering data packets for highly dynamic mobile ad hoc networks in a timely and reliable way. Already existing ad hoc routing protocols are susceptible to node mobilty.The issue is s...

A Review on Ensemble of Diverse Artificial Neural Networks  

Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, which provides the power of multiple classifiers to achieve better prediction accuracy than any of the individual classifier could on...

Modified Dactylogram Sifting

Fingerprint recognition has been with success utilized by enforcement agencies to spot suspects and victims for nearly a hundred years. Recent advances in automated fingerprint identification technology, in addition...

 Use of Open Source Software in Engineering

The term Open Source Software (OSS) is widely described with the software that is available with its source code and a licensed to redevelop and redistributes it. Todays open source softwares are widely used for ev...

FPGA IMPLEMENTATION OF FOUR PHASE CODE DESIGN USING MODIFIED GENETIC ALGORITHM (MGA)  

The proposed architecture consists of an efficient VLSI hardware implementation of the Modified Genetic Algorithm for identifying the good pulse compression sequences based on Discrimination Factor. The main advantag...

Download PDF file
  • EP ID EP98868
  • DOI -
  • Views 124
  • Downloads 0

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