Manifold Ambiguity-Free Low Complexity DOA Estimation Method for Unfolded Co-Prime Arrays

The problem of manifold ambiguity-free direction-of-arrival (DOA) estimation for an unfolded co-prime array is of prime research interest. The manifold ambiguity problem is resolved by using beamforming-like methods. However, the performance of this method is limited by the searching step, computati...

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Bibliographic Details
Published in:IEEE communications letters Vol. 25; no. 6; pp. 1886 - 1890
Main Authors: C, Ashok, N, Venkateswaran
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Ambiguity
Approximation
Arrays
Beamforming
Complexity
Correlation
Direction of arrival
Direction-of-arrival estimation
DOA estimation
Estimation
manifold ambiguity
Manifolds
Signal resolution
Support vector machines
support vector regression (SVR)
Training
unfolded co-prime array
ISSN:1089-7798, 1558-2558
Online Access:Get full text
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Summary:The problem of manifold ambiguity-free direction-of-arrival (DOA) estimation for an unfolded co-prime array is of prime research interest. The manifold ambiguity problem is resolved by using beamforming-like methods. However, the performance of this method is limited by the searching step, computational complexity and also fails to resolve the closely spaced sources. In order to overcome the above limitations, in this letter, the DOA estimation is viewed as a function approximation problem. The unknown mapping function that relates the received signals and its DOAs is approximated by using the support vector regression (SVR). The proposed method resolves the ambiguity problem completely with low computational complexity. The simulation results are provided to validate the superiority and effectiveness of DOA estimation in terms of estimation accuracy, computational complexity and reliability.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2021.3059673