Abstract
Conference Title: 2014 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Conference Start Date: 2014, March 17 Conference End Date: 2014, March 19 Conference Location: Sousse, Tunisia This paper proposes two Unitary MUSIC-like algorithms, requiring only linear operations, for Directions of Arrival (DoAs) estimation problem. The constraints on the proposed algorithms are the same imposed onto the standard MUSIC algorithm allowing high resolution localisation capabilities with a reduced computation cost and lower processing time as compared to the existing schemes. We demonstrate that the introduced Orthogonal Decompositions (OD) technique, for noise subspace estimation, can efficiently replace the requirement of Singular Value Decomposition (SVD) or Eigenvalue Decomposition (EVD) which leads to a reduced computational complexity and makes the DoAs estimation faster while maintaining comparable estimation accuracy. The simulation results confirm that high resolution DoAs estimation can be achieved by the developed methods and prove the validity of our approach. [PUBLICATION ABSTRACT]