slugA novel Architecture for DOA estimation of signals to track target source positions
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 6
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
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