Adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radar

Because of the limitations of traditional Principal Component Analysis (PCA) in clutter reduction, an improved PCA subspace method is proposed based on the 2D wavelet transform. Moreover, the combination of the improved subspace method and adaptive filtering ensures the signal fidelity and learning...

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Main Authors: Qin Yao, Huang Chun-lin, Lu Min, Xu Wei
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2015-08-01
Series:Leida xuebao
Subjects:
Online Access:http://radars.ie.ac.cn/CN/html/20150409.htm
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author Qin Yao
Huang Chun-lin
Lu Min
Xu Wei
author_facet Qin Yao
Huang Chun-lin
Lu Min
Xu Wei
author_sort Qin Yao
collection DOAJ
description Because of the limitations of traditional Principal Component Analysis (PCA) in clutter reduction, an improved PCA subspace method is proposed based on the 2D wavelet transform. Moreover, the combination of the improved subspace method and adaptive filtering ensures the signal fidelity and learning adaptability of adaptive filtering. Then, an adaptive clutter reduction algorithm based on wavelet transform and PCA, as well as adaptive filtering, is proposed. The experimental results suggest that the proposed method improves the signal to clutter ratio and target image definition.
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language English
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spelling doaj.art-d66de3f5dc8942118091ca1f470849832023-12-02T20:15:09ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2015-08-014444545110.12000/JR15013Adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radarQin Yao0Huang Chun-lin1Lu Min2Xu Wei3School of Electronic Science and Engineering, National University of Defense TechnologySchool of Electronic Science and Engineering, National University of Defense TechnologySchool of Electronic Science and Engineering, National University of Defense TechnologyEngineer Academy of People’s Liberation ArmyBecause of the limitations of traditional Principal Component Analysis (PCA) in clutter reduction, an improved PCA subspace method is proposed based on the 2D wavelet transform. Moreover, the combination of the improved subspace method and adaptive filtering ensures the signal fidelity and learning adaptability of adaptive filtering. Then, an adaptive clutter reduction algorithm based on wavelet transform and PCA, as well as adaptive filtering, is proposed. The experimental results suggest that the proposed method improves the signal to clutter ratio and target image definition.http://radars.ie.ac.cn/CN/html/20150409.htmGround Penetrating Radar (GPR)Clutter reductionPrincipal Component Analysis (PCA)Wavelet transformAdaptive filtering
spellingShingle Qin Yao
Huang Chun-lin
Lu Min
Xu Wei
Adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radar
Leida xuebao
Ground Penetrating Radar (GPR)
Clutter reduction
Principal Component Analysis (PCA)
Wavelet transform
Adaptive filtering
title Adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radar
title_full Adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radar
title_fullStr Adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radar
title_full_unstemmed Adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radar
title_short Adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radar
title_sort adaptive clutter reduction based on wavelet transform and principal component analysis for ground penetrating radar
topic Ground Penetrating Radar (GPR)
Clutter reduction
Principal Component Analysis (PCA)
Wavelet transform
Adaptive filtering
url http://radars.ie.ac.cn/CN/html/20150409.htm
work_keys_str_mv AT qinyao adaptiveclutterreductionbasedonwavelettransformandprincipalcomponentanalysisforgroundpenetratingradar
AT huangchunlin adaptiveclutterreductionbasedonwavelettransformandprincipalcomponentanalysisforgroundpenetratingradar
AT lumin adaptiveclutterreductionbasedonwavelettransformandprincipalcomponentanalysisforgroundpenetratingradar
AT xuwei adaptiveclutterreductionbasedonwavelettransformandprincipalcomponentanalysisforgroundpenetratingradar