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

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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Bibliographic Details
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:
Ground Penetrating Radar (GPR)
Clutter reduction
Principal Component Analysis (PCA)
Wavelet transform
Adaptive filtering
Online Access:http://radars.ie.ac.cn/CN/html/20150409.htm

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