Robust Target Positioning for Reconfigurable Intelligent Surface Assisted MIMO Radar Systems

Chen, Zhen; Tang, Jie; Huang, Lei; He, Zhitao; Wong, Kai‐Kit; Wang, Jiangzhou

doi:10.1109/tvt.2023.3284454

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…The 2-D radar is located at [0, 0, 0] km. The location of the target to be located is [24,48,12] Since the localization accuracy depends on the radar measurement error, which is determined by the SNR of the received target echoes, the first target is selected as a reference, and it is assumed that its SNR in the direct channel is set to change from 5 to 30 dB. The target SNR in the auxiliary channels can be deduced according to the basic radar equation.…”

Section: Localization Accuracy Simulationmentioning

confidence: 99%

“…The 2-D radar located at [0, 0, 0] km is assisted by three RISs to locate four sparse targets in one scanning beam. The locations of the targets are [20,40,9] km, [18,36,7] km, [24,48,12] km and [16,32,10] For the first target located at [20,40,9] km, its SNR in the direct channel is changing from 5 to 30 dB with a step as 1 dB. Its SNR in the auxiliary channels can be calculated.…”

Section: Target Localization In Multi-target Scenariomentioning

confidence: 99%

“…Buzzi and Grossi incorporated the radar system with the RIS technique to improve the target detection performance [21][22][23]. Then, the RIS-assisted MIMO radar [24,25] and the multi-target detection application [26] are considered, in which the detection performance is improved by jointly optimizing both radar waveforms and the RIS phase shifts. The author in [27] introduced the RISs to extend the radar surveillance in non-line-of-sight (N-LOS) scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Reconfigurable Intelligent Surface Assisted Target Three-Dimensional Localization with 2-D Radar

Liu,

Zhao,

Xie

et al. 2024

Remote Sensing

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Battlefield surveillance radar is usually 2-D radar, which cannot realize target three-dimensional localization, leading to poor resolution for the air target in the elevation dimension. Previous researchers have used the Traditional Height Finder Radar (HFR) or multiple 2-D radar networking to estimate the target three-dimensional location. However, all of them face the problems of high cost, poor real-time performance and high requirement of space–time registration. In this paper, Reconfigurable Intelligent Surfaces (RISs) with low cost are introduced into the 2-D radar to realize the target three-dimensional localization. Taking advantage of the wide beam of 2-D radar in the elevation dimension, several Unmanned Aerial Vehicles (UAVs) carrying RISs are set in the receiving beam to form multiple auxiliary measurement channels. In addition, the traditional 2-D radar measurements combined with the auxiliary channel measurements are used to realize the target three-dimensional localization by solving a nonlinear least square problem with a convex optimization method. For the proposed RIS-assisted target three-dimensional localization problem, the Cramer–Rao Lower Bound (CRLB) is derived to measure the target localization accuracy. Simulation results verify the effectiveness of the proposed 3-D localization method, and the influences of the number, the positions and the site errors of the RISs on the localization accuracy are covered.

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Section: Localization Accuracy Simulationmentioning

confidence: 99%