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Range-Recursive IAA for Scanning RadarAngular Super-Resolution

Zhang, Yongchao; Jakobsson, Andreas LU and Yang, Jianyu (2017) In IEEE Geoscience and Remote Sensing Letters 14(10). p.1675-1679
Abstract

Recently, the iterative adaptive approach (IAA) was adopted to allow for the estimation of high-resolution scanning radar images. In this letter, we further develop this approach by introducing a range-recursive IAA (IAA-RR) formulation allowing for a computationally efficient updating of the resulting estimates along range. Besides exploiting the rich matrix structure to mitigate the computational complexity for each iteration, the correlation between adjacent range cells is exploited to accelerate the convergence of the IAA iterations. When an additional range measurement becomes available, further acceleration is available by exploiting the estimates already formed for the adjacent range cells. Compared with the existing fast IAA... (More)

Recently, the iterative adaptive approach (IAA) was adopted to allow for the estimation of high-resolution scanning radar images. In this letter, we further develop this approach by introducing a range-recursive IAA (IAA-RR) formulation allowing for a computationally efficient updating of the resulting estimates along range. Besides exploiting the rich matrix structure to mitigate the computational complexity for each iteration, the correlation between adjacent range cells is exploited to accelerate the convergence of the IAA iterations. When an additional range measurement becomes available, further acceleration is available by exploiting the estimates already formed for the adjacent range cells. Compared with the existing fast IAA implementation, the proposed IAA-RR is shown to offer significant computational savings, without noticeable loss in performance. Numerical results illustrate the superior performance of the proposed IAA-RR algorithm.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Azimuth, Convergence, Convolution, Estimation, Iterative adaptive approach (IAA), Iterative methods, Radar, range-recursive (RR), scanning radar, Signal resolution, super-resolution.
in
IEEE Geoscience and Remote Sensing Letters
volume
14
issue
10
pages
1675 - 1679
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85028960035
  • wos:000413961200006
ISSN
1545-598X
DOI
10.1109/LGRS.2017.2728038
language
English
LU publication?
yes
id
20e347b3-5358-46a9-9d68-97ec08c6ad50
date added to LUP
2017-09-27 11:06:33
date last changed
2018-04-08 05:00:56
@article{20e347b3-5358-46a9-9d68-97ec08c6ad50,
  abstract     = {<p>Recently, the iterative adaptive approach (IAA) was adopted to allow for the estimation of high-resolution scanning radar images. In this letter, we further develop this approach by introducing a range-recursive IAA (IAA-RR) formulation allowing for a computationally efficient updating of the resulting estimates along range. Besides exploiting the rich matrix structure to mitigate the computational complexity for each iteration, the correlation between adjacent range cells is exploited to accelerate the convergence of the IAA iterations. When an additional range measurement becomes available, further acceleration is available by exploiting the estimates already formed for the adjacent range cells. Compared with the existing fast IAA implementation, the proposed IAA-RR is shown to offer significant computational savings, without noticeable loss in performance. Numerical results illustrate the superior performance of the proposed IAA-RR algorithm.</p>},
  author       = {Zhang, Yongchao and Jakobsson, Andreas and Yang, Jianyu},
  issn         = {1545-598X},
  keyword      = {Azimuth,Convergence,Convolution,Estimation,Iterative adaptive approach (IAA),Iterative methods,Radar,range-recursive (RR),scanning radar,Signal resolution,super-resolution.},
  language     = {eng},
  month        = {08},
  number       = {10},
  pages        = {1675--1679},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Geoscience and Remote Sensing Letters},
  title        = {Range-Recursive IAA for Scanning RadarAngular Super-Resolution},
  url          = {http://dx.doi.org/10.1109/LGRS.2017.2728038},
  volume       = {14},
  year         = {2017},
}