SUBSPACE BASED DOA ESTIMATION TECHNIQUES

Aniket R. Kale, D. G. Ganage, S. A. Wagh

Abstract: The subspace based techniques are used for Direction of Arrival (DOA) estimation in this work. The subspace based techniques are based on using the eigen structure of data covariance matrix. The subspace based techniques includes MUSIC, ROOTMUSIC, ESPRIT. The aim is to analyze the performance of DOA estimation algorithms in challenging environment, such as low signal to noise ratio, closely spaced sources. The performance of subspace based DOA estimation algorithm is done on Uniform Linear Array (ULA). Simulation result shows the effect of varying parameters will affect DOA estimation. The simulation shows that the MUSIC algorithm has better accuracy as compared to the Root-MUSIC and ESPRIT.

Keywords: DOA, MUSIC, Root-MUSIC, and ESPRIT

DOI: https://doi.org/10.15623/ijret.2015.0406098