Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Localization of Subsurface Targets Based on Symmetric Sub-array MIMO Radar

  • Liu, Qinghua (Guangxi Key Lab of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology) ;
  • He, Yuanxin (Guangxi Key Lab of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology) ;
  • Jiang, Chang (Guangxi Key Lab of Wireless Wideband Communication & Signal Processing, Guilin University of Electronic Technology)
  • Received : 2020.01.09
  • Accepted : 2020.05.24
  • Published : 2020.08.31
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Abstract

For the issue of subsurface target localization by reverse projection, a new approach of target localization with different distances based on symmetric sub-array multiple-input multiple-output (MIMO) radar is proposed in this paper. By utilizing the particularity of structure of the two symmetric sub-arrays, the received signals are jointly reconstructed to eliminate the distance information from the steering vectors. The distance-independent direction of arrival (DOA) estimates are acquired, and the localizations of subsurface targets with different distances are realized by reverse projection. According to the localization mechanism and application characteristics of the proposed algorithm, the grid zooming method based on spatial segmentation is used to optimize the locaiton efficiency. Simulation results demonstrate the effectiveness of the proposed localization method and optimization scheme.

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References

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