Enhanced Standard Esprit For Overcoming Imperfections In DOA Estimation

Majdoddin Esfandiari; Sergiy A. Vorobyov

ICASSP 2021accepted0 citations

Enhanced Standard Esprit For Overcoming Imperfections In DOA Estimation

Majdoddin Esfandiari, Sergiy A. Vorobyov

Abstract

Direction-of-arrival (DOA) estimation problem is a challenging one in the presence of coherent sources, when the sample size is small, and the signal-to-noise ratio is low. We address this problem by developing a new method called enhanced standard ESPRIT (ES ESPRIT), and also its unitary extension called enhanced unitary ESPRIT (EU ESPRIT). The proposed methods use statistics of the subspace perturbation. First, they generate 2K DOA candidates for K sources, and then discreetly select K of them. Numerical results show the superiority of EU ESPRIT over other existing methods especially in improving threshold performance and separating closely located sources with a small sample size.

BibTeX

@inproceedings{icassp2021_enhancedstandard,
  title = {Enhanced Standard Esprit For Overcoming Imperfections In DOA Estimation},
  author = {Majdoddin Esfandiari and Sergiy A. Vorobyov},
  booktitle = {ICASSP 2021},
  year = {2021}
}