A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing

We propose a subspace-tracking-based space-time adaptive processing technique for airborne radar applications. By applying a modified approximated power iteration subspace tracing algorithm, the principal subspace in which the clutter-plus-interference reside is estimated. Therefore, the moving targ...

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Main Authors: Yang Zhiwei, He Shun, Liao Guisheng, Ouyang Shan
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2010/973718
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author Yang Zhiwei
He Shun
Liao Guisheng
Ouyang Shan
author_facet Yang Zhiwei
He Shun
Liao Guisheng
Ouyang Shan
author_sort Yang Zhiwei
collection DOAJ
description We propose a subspace-tracking-based space-time adaptive processing technique for airborne radar applications. By applying a modified approximated power iteration subspace tracing algorithm, the principal subspace in which the clutter-plus-interference reside is estimated. Therefore, the moving targets are detected by projecting the data on the minor subspace which is orthogonal to the principal subspace. The proposed approach overcomes the shortcomings of the existing methods and has satisfactory performance. Simulation results confirm that the performance improvement is achieved at very small secondary sample support, a feature that is particularly attractive for applications in heterogeneous environments.
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institution Kabale University
issn 2090-0147
2090-0155
language English
publishDate 2010-01-01
publisher Wiley
record_format Article
series Journal of Electrical and Computer Engineering
spelling doaj-art-37d2302702cd432f86631f0bfe03a4b82025-02-03T00:58:53ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552010-01-01201010.1155/2010/973718973718A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive ProcessingYang Zhiwei0He Shun1Liao Guisheng2Ouyang Shan3National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, ChinaDepartment of Communication and Information Engineering, Guilin University of Electronic Technology, Guilin 541004, ChinaWe propose a subspace-tracking-based space-time adaptive processing technique for airborne radar applications. By applying a modified approximated power iteration subspace tracing algorithm, the principal subspace in which the clutter-plus-interference reside is estimated. Therefore, the moving targets are detected by projecting the data on the minor subspace which is orthogonal to the principal subspace. The proposed approach overcomes the shortcomings of the existing methods and has satisfactory performance. Simulation results confirm that the performance improvement is achieved at very small secondary sample support, a feature that is particularly attractive for applications in heterogeneous environments.http://dx.doi.org/10.1155/2010/973718
spellingShingle Yang Zhiwei
He Shun
Liao Guisheng
Ouyang Shan
A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing
Journal of Electrical and Computer Engineering
title A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing
title_full A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing
title_fullStr A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing
title_full_unstemmed A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing
title_short A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing
title_sort modified fast approximated power iteration subspace tracking method for space time adaptive processing
url http://dx.doi.org/10.1155/2010/973718
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