Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array
© 2017 Elsevier GmbH To solve the problem of direction-of-arrival (DOA) estimation for partly calibrated array, a new gain-phase error matrix estimation scheme and a smoothed sparse signal reconstruction method tailored for the complex-valued covariance matrix are proposed. In the proposed method, D...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/73506 |
| _version_ | 1848763033299451904 |
|---|---|
| author | Liu, J. Zhou, W. Huang, D. Juwono, Filbert Hilman |
| author_facet | Liu, J. Zhou, W. Huang, D. Juwono, Filbert Hilman |
| author_sort | Liu, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2017 Elsevier GmbH To solve the problem of direction-of-arrival (DOA) estimation for partly calibrated array, a new gain-phase error matrix estimation scheme and a smoothed sparse signal reconstruction method tailored for the complex-valued covariance matrix are proposed. In the proposed method, DOA estimation is achieved by employing the structure of the covariance matrix for the error matrix estimation and the complex-valued gradient matrix based fast non-convexity data reconstruction. The proposed method has much faster computational speed than other sparse DOA estimation methods with partly calibrated array. In addition, simulation results show that it performs well and is independent of the errors. |
| first_indexed | 2025-11-14T10:57:01Z |
| format | Journal Article |
| id | curtin-20.500.11937-73506 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:57:01Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-735062018-12-13T09:35:50Z Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array Liu, J. Zhou, W. Huang, D. Juwono, Filbert Hilman © 2017 Elsevier GmbH To solve the problem of direction-of-arrival (DOA) estimation for partly calibrated array, a new gain-phase error matrix estimation scheme and a smoothed sparse signal reconstruction method tailored for the complex-valued covariance matrix are proposed. In the proposed method, DOA estimation is achieved by employing the structure of the covariance matrix for the error matrix estimation and the complex-valued gradient matrix based fast non-convexity data reconstruction. The proposed method has much faster computational speed than other sparse DOA estimation methods with partly calibrated array. In addition, simulation results show that it performs well and is independent of the errors. 2018 Journal Article http://hdl.handle.net/20.500.11937/73506 10.1016/j.aeue.2017.10.026 restricted |
| spellingShingle | Liu, J. Zhou, W. Huang, D. Juwono, Filbert Hilman Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array |
| title | Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array |
| title_full | Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array |
| title_fullStr | Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array |
| title_full_unstemmed | Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array |
| title_short | Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array |
| title_sort | covariance matrix based fast smoothed sparse doa estimation with partly calibrated array |
| url | http://hdl.handle.net/20.500.11937/73506 |