Localization of Subsurface Targets Based on Symmetric Sub-array MIMO Radar


Qinghua Liu, Yuanxin He, Chang Jiang, Journal of Information Processing Systems Vol. 16, No. 4, pp. 774-783, Aug. 2020  

10.3745/JIPS.04.0179
Keywords: Direction of Arrival (DOA), Ground Penetrating Radar (GPR), MIMO, Reverse Projection, Symmetric Sub-array
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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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Cite this article
[APA Style]
Qinghua Liu, Yuanxin He, & Chang Jiang (2020). Localization of Subsurface Targets Based on Symmetric Sub-array MIMO Radar. Journal of Information Processing Systems, 16(4), 774-783. DOI: 10.3745/JIPS.04.0179.

[IEEE Style]
Q. Liu, Y. He and C. Jiang, "Localization of Subsurface Targets Based on Symmetric Sub-array MIMO Radar," Journal of Information Processing Systems, vol. 16, no. 4, pp. 774-783, 2020. DOI: 10.3745/JIPS.04.0179.

[ACM Style]
Qinghua Liu, Yuanxin He, and Chang Jiang. 2020. Localization of Subsurface Targets Based on Symmetric Sub-array MIMO Radar. Journal of Information Processing Systems, 16, 4, (2020), 774-783. DOI: 10.3745/JIPS.04.0179.