a high-resolution and low-complexity doa estimation method with unfolded coprime linear arrays

Clicks: 184
ID: 130526
2019
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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.
Reference Key
he2019sensorsa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Wei He;Xiao Yang;Yide Wang
Journal ekonomiczne problemy usług
Year 2019
DOI
10.3390/s20010218
URL
https://www.mdpi.com/1424-8220/20/1/218
Keywords
high resolution doa estimation

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