Volume 4 Issue 5
Nov.  2015
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Article Navigation >  Journal of Radars  > 2015  >  4(5): 509-517
Si Qi, Wang Yu, Deng Yunkai, Li Ning, Zhang Heng. A Novel Cluster-Analysis Algorithm Based on MAP Framework for Multi-baseline InSAR Height Reconstruction[J]. Journal of Radars, 2017, 6(6): 640-652. doi: 10.12000/JR17043
Citation: Tan Yun-hua, Wang Li-bo, Li Lian-lin. A Novel Probability Model for Suppressing Multipath Ghosts in GPR and TWI Imaging: A Numerical Study(in English)[J]. Journal of Radars, 2015, 4(5): 509-517. doi: 10.12000/JR15066
shu

A Novel Probability Model for Suppressing Multipath Ghosts in GPR and TWI Imaging: A Numerical Study(in English)

DOI: 10.12000/JR15066

  • (School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China)

Funds:

The National Natural Science Foundation of China (61471006)

  • Received Date: 2015-05-27
  • Rev Recd Date: 2015-10-10
  • Publish Date: 2015-10-28
    Abstract

  • A novel concept for suppressing the problem of multipath ghosts in Ground Penetrating Radar (GPR) and Through-Wall Imaging (TWI) is presented. Ghosts (i.e., false targets) mainly arise from the use of the Born or single-scattering approximations that lead to linearized imaging algorithms; however, these approximations neglect the effect of multiple scattering (or multipath) between the electromagnetic wavefield and the object under investigation. In contrast to existing methods of suppressing multipath ghosts, the proposed method models for the first time the reflectivity of the probed objects as a probability function up to a normalized factor and introduces the concept of random subaperture by randomly picking up measurement locations from the entire aperture. Thus, the final radar image is a joint probability distribution that corresponds to radar images derived from multiple random subapertures. Finally, numerical experiments are used to demonstrate the performance of the proposed methodology in GPR and TWI imaging.

     

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    • References(22)
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