Wideband Sparse Reconstruction for Scanning Radar
Zhang, Yongchao ; Jakobsson, Andreas LU
; Zhang, Yin
; Huang, Yulin
and Yang, Jianyu
(2018)
In IEEE Transactions on Geoscience and Remote Sensing
56(10).
p.6055-6068
- Abstract
Recently, the generalized sparse iterative covariance-based estimation algorithm was extended to allow for varying norm constraints in scanning radar applications. In this paper, further to this development, we introduce a wideband dictionary framework which can provide a computationally efficient estimation of sparse signals. The technique is formed by initially introducing a coarse grid dictionary constructed from integrating elements, spanning bands of the considered parameter space. After forming estimates of the initially activated bands, these are retained and refined, whereas nonactivated bands are discarded from the further optimization, resulting in a smaller and zoomed dictionary with a finer grid. Implementing this scheme... (More)
Recently, the generalized sparse iterative covariance-based estimation algorithm was extended to allow for varying norm constraints in scanning radar applications. In this paper, further to this development, we introduce a wideband dictionary framework which can provide a computationally efficient estimation of sparse signals. The technique is formed by initially introducing a coarse grid dictionary constructed from integrating elements, spanning bands of the considered parameter space. After forming estimates of the initially activated bands, these are retained and refined, whereas nonactivated bands are discarded from the further optimization, resulting in a smaller and zoomed dictionary with a finer grid. Implementing this scheme allows for reliable sparse signal reconstruction, at a much lower computational cost as compared to directly forming a larger dictionary spanning the whole parameter space. Simulation and real data processing results demonstrate that the proposed wideband estimator offers significant computational savings, without noticeable loss of performance.
(Less)
- author
- Zhang, Yongchao
; Jakobsson, Andreas
LU
; Zhang, Yin
; Huang, Yulin
and Yang, Jianyu
- organization
- publishing date
- 2018-05-18
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Antenna measurements, Antennas, Covariance-based sparse estimation, Dictionaries, Estimation, generalized sparse reconstruction, Image reconstruction, Radar, scanning radar, Sensors, wideband dictionary.
- in
- IEEE Transactions on Geoscience and Remote Sensing
- volume
- 56
- issue
- 10
- pages
- 6055 - 6068
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85047220628
- ISSN
- 0196-2892
- DOI
- 10.1109/TGRS.2018.2830100
- language
- English
- LU publication?
- yes
- id
- ab3e13fb-7960-4fd3-b668-55136fe1cede
- date added to LUP
- 2018-06-01 13:07:56
- date last changed
- 2022-04-17 20:49:04
@article{ab3e13fb-7960-4fd3-b668-55136fe1cede,
abstract = {{<p>Recently, the generalized sparse iterative covariance-based estimation algorithm was extended to allow for varying norm constraints in scanning radar applications. In this paper, further to this development, we introduce a wideband dictionary framework which can provide a computationally efficient estimation of sparse signals. The technique is formed by initially introducing a coarse grid dictionary constructed from integrating elements, spanning bands of the considered parameter space. After forming estimates of the initially activated bands, these are retained and refined, whereas nonactivated bands are discarded from the further optimization, resulting in a smaller and zoomed dictionary with a finer grid. Implementing this scheme allows for reliable sparse signal reconstruction, at a much lower computational cost as compared to directly forming a larger dictionary spanning the whole parameter space. Simulation and real data processing results demonstrate that the proposed wideband estimator offers significant computational savings, without noticeable loss of performance.</p>}},
author = {{Zhang, Yongchao and Jakobsson, Andreas and Zhang, Yin and Huang, Yulin and Yang, Jianyu}},
issn = {{0196-2892}},
keywords = {{Antenna measurements; Antennas; Covariance-based sparse estimation; Dictionaries; Estimation; generalized sparse reconstruction; Image reconstruction; Radar; scanning radar; Sensors; wideband dictionary.}},
language = {{eng}},
month = {{05}},
number = {{10}},
pages = {{6055--6068}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Geoscience and Remote Sensing}},
title = {{Wideband Sparse Reconstruction for Scanning Radar}},
url = {{http://dx.doi.org/10.1109/TGRS.2018.2830100}},
doi = {{10.1109/TGRS.2018.2830100}},
volume = {{56}},
year = {{2018}},
}