Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization
Joint Authors
Source
International Journal of Antennas and Propagation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In this paper, we address the direction finding problem in the background of unknown nonuniform noise with nested array.
A novel gridless direction finding method is proposed via the low-rank covariance matrix approximation, which is based on a reweighted nuclear norm optimization.
In the proposed method, we first eliminate the noise variance variable by linear transform and utilize the covariance fitting criteria to determine the regularization parameter for insuring robustness.
And then we reconstruct the low-rank covariance matrix by iteratively reweighted nuclear norm optimization that imposes the nonconvex penalty.
Finally, we exploit the search-free DoA estimation method to perform the parameter estimation.
Numerical simulations are carried out to verify the effectiveness of the proposed method.
Moreover, results indicate that the proposed method has more accurate DoA estimation in the nonuniform noise and off-grid cases compared with the state-of-the-art DoA estimation algorithm.
American Psychological Association (APA)
Tan, Weijie& Feng, Xi’an. 2019. Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization. International Journal of Antennas and Propagation،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1157932
Modern Language Association (MLA)
Tan, Weijie& Feng, Xi’an. Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization. International Journal of Antennas and Propagation No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1157932
American Medical Association (AMA)
Tan, Weijie& Feng, Xi’an. Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization. International Journal of Antennas and Propagation. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1157932
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1157932