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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.

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author
organization
publishing date
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
2019-11-13 05:09:25
@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},
  keyword      = {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},
  volume       = {56},
  year         = {2018},
}