Localization of Subsurface Targets Based on Symmetric Sub-array MIMO Radar
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초록
For the issue of subsurface target localization by reverse projection, a new approach of target localization with different distances based on symmetric subarray multipleinput multipleoutput (MIMO) radar is proposed in this paper. By utilizing the particularity of structure of the two symmetric subarrays, the received signals arejointly reconstructed to eliminate the distance information from the steering vectors. The distanceindependent 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.
Abstract
For the issue of subsurface target localization by reverse projection, a new approach of target localization with different distances based on symmetric subarray multipleinput multipleoutput (MIMO) radar is proposed in this paper. By utilizing the particularity of structure of the two symmetric subarrays, the received signals arejointly reconstructed to eliminate the distance information from the steering vectors. The distanceindependent 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.
참고문헌 (12)
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