Open AccessImproved subspace‐based method for 2D DOA estimation with L‐shaped array
Author(s) -
Liu Mengyi,
Cao Hui,
Wu Yuntao
Publication year - 2020
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2019.4235
Subject(s) - subspace topology , estimation , algorithm , mathematics , computer science , engineering , artificial intelligence , systems engineering
An improved subspace‐based method for 2D direction of arrival (DOA) estimation of an L‐shaped array is proposed in this Letter. Based on real‐valued singular value decomposition (SVD), the signal subspaces corresponding to the 2D DOA are obtained from the left and right singular vectors, respectively. Then, the weighted least squares method is utilised to estimate the DOAs from the reconstructed complex‐valued signal subspaces, which are automatically paired. Owing to the real‐valued SVD, the complexity of the proposed algorithm is reduced and numerical results confirm the effectiveness and accuracy of the proposed approach.