Research on the Ground Penetrating Radar Clutter Suppression Technology Based on PCA Method
DeMei Yang, Yao Qin, Xiaozhen Ren
Available Online June 2015.
- https://doi.org/10.2991/icecee-15.2015.53How to use a DOI?
- Ground Penetrating Radar; Principal Component Analysis; clutter suppression
- The reduction of background clutter signal from Ground Penetrating Radar (GPR) experiments is an area of active research. The weak reflection signal obtained from subsurface targets is usually blurred by such strong clutter. Therefore, clutter suppression is the key step in ground penetrating radar signal processing. In this paper, Principal Component Analysis (PCA) algorithm is used to suppress GPR clutter. First, mean filter method is used to remove the direct wave and part of noise signal in the reflection wave, and then the processed observing data are divided into target space and clutter space. After that, signals in target space are decomposed into independent components by dimension reduction. Finally, removing small components can get the purposes of outstanding effective target and clutter suppression. By dealing with GPR experiment data, it shows that the PCA algorithm based on mean filter to suppress clutter is effectiveness and stability.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - DeMei Yang AU - Yao Qin AU - Xiaozhen Ren PY - 2015/06 DA - 2015/06 TI - Research on the Ground Penetrating Radar Clutter Suppression Technology Based on PCA Method BT - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics PB - Atlantis Press SP - 239 EP - 242 SN - 2352-538X UR - https://doi.org/10.2991/icecee-15.2015.53 DO - https://doi.org/10.2991/icecee-15.2015.53 ID - Yang2015/06 ER -