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Two‐dimensional DOA estimation for noncoherent and coherent signals using subspace approach
Author(s) -
Shahimaeen Assieh,
Dehghani Mohammad Javad,
Dodangeh Mahdi
Publication year - 2019
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3752
Subject(s) - subspace topology , direction of arrival , algorithm , computer science , computational complexity theory , eigenvalues and eigenvectors , estimation , modal , artificial intelligence , telecommunications , engineering , physics , chemistry , systems engineering , quantum mechanics , antenna (radio) , polymer chemistry
This paper focuses on the problem of two‐dimensional (2D) direction‐of‐arrival (DOA) estimation for a mixture of noncoherent and coherent signals impinging on two parallel uniform linear arrays. It adopts the principal‐eigenvector utilization for modal analysis (PUMA)–based algorithm. The algorithm offers a closed‐form solution for updating the 2D DOA estimation and pairs the estimated angles automatically as well as has mild computational complexity. Finally, simulation results confirm that our PUMA‐based algorithm has good performance in handling 2D DOA estimation even in the presence of coherent signals.