Application of L1 norm approach to data acquired by the array GPR Yakumo

Li Yi, Kazunori Takahashi, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We apply the L1 norm approaches on sparsely acquired data of the array ground penetrating radar (GPR) system YAKUMO. Due to the limitation of the antenna size of YAKUMO system, the antenna offsets between each element are much larger than the wavelength. Such sparsely acquired data may introduce strong artifacts to the imaging results such as synthetic aperture radar (SAR) processing and the velocity analysis. In order to use these sparsely acquired data properly, we improved these algorithms by applying the sparsely promoted L1 norm regularization. The results shows that the proposed method can provide high resolution results with sparsely acquired dataset.

Original languageEnglish
Title of host publication2016 10th European Conference on Antennas and Propagation, EuCAP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788890701863
DOIs
Publication statusPublished - 2016 May 31
Event10th European Conference on Antennas and Propagation, EuCAP 2016 - Davos, Switzerland
Duration: 2016 Apr 102016 Apr 15

Publication series

Name2016 10th European Conference on Antennas and Propagation, EuCAP 2016

Other

Other10th European Conference on Antennas and Propagation, EuCAP 2016
CountrySwitzerland
CityDavos
Period16/4/1016/4/15

Keywords

  • L1 norm
  • compressive sensing
  • ground penetrating radar (GPR)
  • synthetic aperture radar (SAR)
  • velocity analysis

ASJC Scopus subject areas

  • Radiation
  • Computer Networks and Communications
  • Instrumentation

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    Yi, L., Takahashi, K., & Sato, M. (2016). Application of L1 norm approach to data acquired by the array GPR Yakumo. In 2016 10th European Conference on Antennas and Propagation, EuCAP 2016 [7481984] (2016 10th European Conference on Antennas and Propagation, EuCAP 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EuCAP.2016.7481984