Covariance Matrix Reconstruction for Direction Finding with Nested Arrays Using Iterative Reweighted Nuclear Norm Minimization
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 m...
| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
Hindawi Limited
2019-01-01
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| Series: | International Journal of Antennas and Propagation |
| Acceso en liña: | http://dx.doi.org/10.1155/2019/7657898 |