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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Format: | Article |
Language: | English |
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Wiley
2010-01-01
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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. |
format | Article |
id | doaj-art-37d2302702cd432f86631f0bfe03a4b8 |
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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