Power optimization for target localization with reconfigurable intelligent surfaces

Feng, Zhiyuan; Wang, Bo; Zhao, Yi; Luan, Mingan; Hu, Fengye

doi:10.1016/j.sigpro.2021.108252

Cited by 15 publications

(5 citation statements)

References 40 publications

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“…Therefore, the noise covariance matrix R t+1 , which is inversely proportional to the SNR, is not significantly different from the R t at the previous time points. Therefore, to exploit this correlation, could be reasonable to use the covariance matrix estimated by (26). However, (26) depends on the power received at time t, which is affected by the power allocation terms β…”

Section: A) Cost Functionmentioning

confidence: 99%

“…In [25], a worstcase localization design is proposed based on the minimization of the squared PEB. In [26], an optimization problem for RIS localization and transmit power minimization is presented both for the case of single and multiple targets, using the CRLB and the semidefinite release method for the power optimization problem.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the existing works entailing RIS-aided localization consider snapshot positioning in the far-field region [2], [11]- [13], [23], [26], [29]. In contrast, only a few works consider the UE tracking problem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Two-Timescale Joint Precoding Design and RIS Optimization for User Tracking in Near-Field MIMO Systems

Palmucci

Guerra

Abrardo

et al. 2023

IEEE Trans. Signal Process.

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In this paper, we propose a novel framework that aims to jointly design the reflection coefficients of multiple reconfigurable intelligent surfaces (RISs) and the precoding strategy of a single base station (BS) to optimize the selftracking of the position and the velocity of a single multi-antenna user equipment (UE) that moves either in the far-or nearfield region. Differently from the literature, and to keep the overall complexity affordable, we assume that RIS optimization is performed less frequently than localization and precoding adaptation. The proposed procedure leads to minimize the inverse of the received power in the UE position uncertainty area between two subsequent optimization steps.The optimal RIS and precoder strategy is compared with the classic beam focusing strategy and with a scheme that maximizes the communication rate. It is shown that if the RISs are optimized for communications, their configuration is suboptimal when used for tracking purposes. Numerical results show that in typical indoor environments with only one BS and a few RISs operating on millimeter waves, high location accuracy in the range of less than half a meter can be achieved.Index terms-Reconfigurable Intelligent Surfaces, Bayesian tracking, MIMO, Optimization.

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Section: A) Cost Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Two-Timescale Joint Precoding Design and RIS Optimization for User Tracking in Near-Field MIMO Systems

Palmucci

Guerra

Abrardo

et al. 2023

IEEE Trans. Signal Process.

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show abstract

“…For each element in Ω k , calculate ∇ ψ k,p L(ψ r k,p ) by (34). For each element in Ω k , update ψ r+1 k,p by (35). Set r = r + 1. until the fractional decrement of the target value is below a certain threshold.…”

Section: Algorithm 2 Optimization For Riss' Phase Shiftmentioning

confidence: 99%

“…Rahal et al [33] and Gao et al [34] optimized a RIS by minimizing positioning error bounds (PEB), where the blockage of LoS and hardware limitations were considered. Feng et al [35] proposed an optimization scheme of RIS based on CRLB for positioning and transmit power minimization and adopted a semi-positive semi-definite relaxation method for the power minimization part.…”

Section: Introductionmentioning

confidence: 99%

Multi-User Tracking in Reconfigurable Intelligent Surface Aided Near-Field Wireless Communications System

Mei,

Wang,

Liu

et al. 2023

Applied Sciences

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An uplink multi-user tracking problem aided by multiple passive reconfigurable intelligent surfaces (RISs) is addressed in this work. Under a near-field circumstance, a multi-antenna base station (BS) localizes multiple moving single-antenna users by processing the received signals transmitted by users and reflected by RISs. Considering the users’ mobility and the potential obstruction of line-of-sight paths, a multi-user tracking system based on the extended Kalman filter (EKF) which fully exploits the temporal correlations between each user’s coordinate changes is designed. Then, the Bayesian Cramér–Rao bound (BCRB) of tracking errors is derived in a pattern consistent with the EKF process. Subsequently, an optimization scheme for passive phase shift design at the RISs is devised by minimizing the derived BCRB and is solved using the Gradient Descent method. Numerical results indicate that the accuracy of our tracking algorithm can approach the BCRB. With abundant RISs deployed and optimized, high-precision multi-user tracking via a single BS can be realized even in harsh localization environments.

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NLOS error mitigation in TOA systems

Chen,

Wang,

et al. 2024

Wireless Netw

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Power optimization for target localization with reconfigurable intelligent surfaces

Cited by 15 publications

References 40 publications

Two-Timescale Joint Precoding Design and RIS Optimization for User Tracking in Near-Field MIMO Systems

Two-Timescale Joint Precoding Design and RIS Optimization for User Tracking in Near-Field MIMO Systems

Multi-User Tracking in Reconfigurable Intelligent Surface Aided Near-Field Wireless Communications System

NLOS error mitigation in TOA systems

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