Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/588753
Title: Detection and parameter estimation of ground moving targets in multichannel wide-area surveillance system based on iterative adaptive approach
Authors: Lijuan Qi;Weidong Yu;Mingjie Zheng;Lili Hou
subject: interference covariance matrix|weighted least-squares-based iterative adaptive processing approach|nonparametric adaptive processing approach|wide-area surveillance ground moving-target indication system|ground clutter suppression|ground moving target detection|multichannel WAS-GMTI system|signal processing|WAS-GMTI system|motion parameter estimation|multichannel wide-area surveillance system
Year: 2016
Publisher: IEEE
Abstract: Clutter suppression and motion parameter estimation are two of the essential issues of the signal processing in wide-area surveillance ground moving-target indication (WAS-GMTI) system. In this study, the authors propose and show how the iterative adaptive approach, which is a recently proposed non-parametric, weighted least-squares-based iterative adaptive processing approach, can be extended into multichannel WAS-GMTI system, in both ground clutter suppression and target parameter estimation. Since the proposed method does not need to estimate the interference covariance matrix from the secondary data, it has a major advantage when processing the data from non-homogeneous environments. The effectiveness of the proposed method is validated by both simulated experiments and real data processing.
URI: http://localhost/handle/Hannan/168168
http://localhost/handle/Hannan/588753
ISSN: 1751-8784
1751-8792
volume: 10
issue: 6
Appears in Collections:2016

Files in This Item:
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Title: Detection and parameter estimation of ground moving targets in multichannel wide-area surveillance system based on iterative adaptive approach
Authors: Lijuan Qi;Weidong Yu;Mingjie Zheng;Lili Hou
subject: interference covariance matrix|weighted least-squares-based iterative adaptive processing approach|nonparametric adaptive processing approach|wide-area surveillance ground moving-target indication system|ground clutter suppression|ground moving target detection|multichannel WAS-GMTI system|signal processing|WAS-GMTI system|motion parameter estimation|multichannel wide-area surveillance system
Year: 2016
Publisher: IEEE
Abstract: Clutter suppression and motion parameter estimation are two of the essential issues of the signal processing in wide-area surveillance ground moving-target indication (WAS-GMTI) system. In this study, the authors propose and show how the iterative adaptive approach, which is a recently proposed non-parametric, weighted least-squares-based iterative adaptive processing approach, can be extended into multichannel WAS-GMTI system, in both ground clutter suppression and target parameter estimation. Since the proposed method does not need to estimate the interference covariance matrix from the secondary data, it has a major advantage when processing the data from non-homogeneous environments. The effectiveness of the proposed method is validated by both simulated experiments and real data processing.
URI: http://localhost/handle/Hannan/168168
http://localhost/handle/Hannan/588753
ISSN: 1751-8784
1751-8792
volume: 10
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7491533.pdf918.73 kBAdobe PDFThumbnail
Preview File
Title: Detection and parameter estimation of ground moving targets in multichannel wide-area surveillance system based on iterative adaptive approach
Authors: Lijuan Qi;Weidong Yu;Mingjie Zheng;Lili Hou
subject: interference covariance matrix|weighted least-squares-based iterative adaptive processing approach|nonparametric adaptive processing approach|wide-area surveillance ground moving-target indication system|ground clutter suppression|ground moving target detection|multichannel WAS-GMTI system|signal processing|WAS-GMTI system|motion parameter estimation|multichannel wide-area surveillance system
Year: 2016
Publisher: IEEE
Abstract: Clutter suppression and motion parameter estimation are two of the essential issues of the signal processing in wide-area surveillance ground moving-target indication (WAS-GMTI) system. In this study, the authors propose and show how the iterative adaptive approach, which is a recently proposed non-parametric, weighted least-squares-based iterative adaptive processing approach, can be extended into multichannel WAS-GMTI system, in both ground clutter suppression and target parameter estimation. Since the proposed method does not need to estimate the interference covariance matrix from the secondary data, it has a major advantage when processing the data from non-homogeneous environments. The effectiveness of the proposed method is validated by both simulated experiments and real data processing.
URI: http://localhost/handle/Hannan/168168
http://localhost/handle/Hannan/588753
ISSN: 1751-8784
1751-8792
volume: 10
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7491533.pdf918.73 kBAdobe PDFThumbnail
Preview File