access icon free Low-complexity 2D central DOA estimation of coherently distributed sources with cross-correlation matrix

A low-complexity estimator for two-dimensional (2D) central direction-of-arrival (DOA) estimation of multiple coherently distributed sources is proposed, which is based on applying the singular value decomposition method to the cross-correlation matrix of the received signals at double parallel uniform linear arrays. The proposed estimator is performed with automatic parameter pairing. Simulation results confirm the efficacy of the proposed estimator.

Inspec keywords: correlation theory; direction-of-arrival estimation; singular value decomposition; computational complexity; array signal processing; matrix algebra

Other keywords: CD source two-dimensional central DOA estimation; 2D central direction-of-arrival estimation; automatic parameter pairing; double parallel ULA; received signal CC matrix; low-complexity estimator; coherently distributed sources; SVD method; cross-correlation matrix; singular value decomposition; uniform linear arrays

Subjects: Algebra; Signal processing theory; Algebra; Signal processing and detection

References

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      • 5. Jazzar, S.O., Muchkaev, A., Nimrat, A., Smad, M.: ‘Low complexity and high accuracy angle of arrival estimation using eigenvalue decomposition with extension to 2D AOA and power estimation’, EURASIP J. Wirel. Commun. Netw., 2011, 1, (123), pp. 113, doi: 10.1186/1687-1499-2011-123.
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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2014.1401
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