ArticleSensors (Basel, Switzerland)2019
A High-Resolution and Low-Complexity DOA Estimation Method with Unfolded Coprime Linear Arrays.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Improved Direction-of-Arrival Estimation of an Acoustic Source Using Support Vector Regression and Signal Correlation.Sensors (Basel, Switzerland) · 2021Article
- Array Diagnosis and DOA Estimation for Coprime Array under Sensor Failures.Sensors (Basel, Switzerland) · 2020Article
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3 authors.
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Abstract
The direction-of-arrivals (DOA) estimation with an unfolded coprime linear array (UCLA) has been investigated because of its large aperture and full degrees of freedom (DOFs). The existing method suffers from low resolution and high computational complexity due to the loss of the uniform property and the step of exhaustive peak searching. In this paper, an improved DOA estimation method for a UCLA is proposed. To exploit the uniform property of the subarrays, the diagonal elements of the two self-covariance matrices are averaged to enhance the accuracy of the estimated covariance matrices and therefore the estimation performance. Besides, instead of the exhaustive peak searching, the polynomial roots finding method is used to reduce the complexity. Compared with the existing method, the proposed method can achieve higher resolution and better estimation performance with lower computational complexity.
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