Open Access

A Reduced Complexity Approach to IAA Beamforming for Efficient DOA Estimation of Coherent Sources

  • Marc Barcelo1,
  • Jose Lopez Vicario1Email author and
  • Gonzalo Seco-Granados1
EURASIP Journal on Advances in Signal Processing20102011:521265

Received: 14 May 2010

Accepted: 13 December 2010

Published: 19 December 2010


We address the 2D direction-of-arrival (DOA) estimation problem in scenarios with coherent sources. More specifically, we adopt beamforming solutions based on the iterative adaptive approach (IAA) recently proposed in the literature. The motivation of such adoption mainly comes from the excellent behavior these beamformers provide in scenarios with coherent sources. Nonetheless, these strategies suffer from a prohibitive computational complexity, especially in 2D scenarios. In order to alleviate the, we propose two reduced-complexity (RC) versions of the IAA and IAA based on maximum likelihood (IAA-ML) algorithms. The proposed beamformers are referred to as IAA-RC and IAA-ML-RC and provide similar results to those obtained with their original counterparts. Computational complexity, however, is further reduced. Numerical results presented in the paper show that the computational burden can be decreased by a 52% with our proposed solutions in the considered scenarios.

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Authors’ Affiliations

Group of Signal Processing for Communications and Navigations (SPCOMNAV), Universitat Autonoma de Barcelona


© Marc Barcelo et al. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.