slugA novel Architecture for DOA estimation of signals to track target source positions

Abstract

MUSIC is traditionally considered better than other algorithms for DOAs. With the increasing demand of near perfect target localisation, and less interference at higher noise regions, coupled with ability to differentiate closely spaced sources, MUSIC algorithm provides us with the scope of improvements. MUSIC fails to give proper DOA of signals when the noise level is high. It also fails to differentiate sources which are very close by. A new algorithm is proposed using SVD of the covariance matrix obtained. A ULA antenna array configuration is taken for both the algorithms. Simulations results show that proposed method gives better performance than traditional MUSIC algorithm

Authors and Affiliations

Nelojit Mayenbam, Prashil M. Jungahre, Cyril Prasanna Raj

Keywords

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  • EP ID EP18250
  • DOI -
  • Views 301
  • Downloads 10

How To Cite

Nelojit Mayenbam, Prashil M. Jungahre, Cyril Prasanna Raj (2014). slugA novel Architecture for DOA estimation of signals to track target source positions. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(6), -. https://europub.co.uk/articles/-A-18250