Blog
About

0
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      Read this article at

      ScienceOpenPublisherDOAJ
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 August 2015
          : 4
          : 4
          : 445-451
          Affiliations
          [1 ] School of Electronic Science and Engineering, National University of Defense Technology
          [2 ] Engineer Academy of People’s Liberation Army
          Article
          d66de3f5dc8942118091ca1f47084983
          10.12000/JR15013

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

          Comments

          Comment on this article