A low complexity weighted least squares narrowband DOA estimator for arbitrary array geometries

Oliver Thiergart; Weilong Huang; Emanuël A. P. Habets

ICASSP 2016accepted0 citations

A low complexity weighted least squares narrowband DOA estimator for arbitrary array geometries

Oliver Thiergart, Weilong Huang, Emanuël A. P. Habets

Abstract

An increasing number of spatial filtering approaches requires narrowband direction-of-arrival (DOA) estimates. State-of-the-art (SOA) estimators such as root-MUSIC and ESPRIT are computationally complex and can be used only with specific array geometries. In this work, a low complexity DOA estimator is proposed that can be applied to arbitrary array geometries. The DOA is estimated by minimizing the weighted error between the observed and expected inter-microphone phase differences. The complexity of the proposed DOA estimator is significantly lower compared to that of the SOA estimators while providing a similar performance.

BibTeX

@inproceedings{icassp2016_alowcomplexitywe,
  title = {A low complexity weighted least squares narrowband DOA estimator for arbitrary array geometries},
  author = {Oliver Thiergart and Weilong Huang and Emanuël A. P. Habets},
  booktitle = {ICASSP 2016},
  year = {2016}
}