PAPIR: Practical RIS-aided Localization via Statistical User Information

Albanese, Anthony A.; Mursia, Placido; Sciancalepore, Vincenzo; Costa‐Pérez, Xavier

doi:10.1109/spawc51858.2021.9593204

Cited by 27 publications

(7 citation statements)

References 14 publications

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“…Ref. [9] develops a practical RIS-aided localization system called PAPIR to finely estimate the user equipment position when there is no direct link between the user equipment and the access point.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

Yang

Chen

Guo

et al. 2022

IEEE Signal Process. Lett.

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In this work, we consider the Direction-of-Arrival (DOA) estimation problem in a low-cost architecture where only one antenna as the receiver is aided by a reconfigurable intelligent surface (RIS). We introduce the one-bit RIS as a signal reflector to enhance signal transmission in non-line-ofsight (NLOS) situations and substantially simplify the physical hardware for DOA estimation. We optimize the beamforming scheme called measurement matrix to focus the echo power on the receiver with the coarse localization information of the targets as the prior. A beamforming scheme based on the modified genetic algorithm is proposed to optimize the measurement matrix, guaranteeing restricted isometry property (RIP) and meeting single beamforming requirements. The DOA results are finely estimated by solving an atomic-norm based sparse reconstruction problem. Simulation results show that the proposed method outperforms the existing methods in the DOA estimation performance.

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Section: Introductionmentioning

confidence: 99%

Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

Yang

Chen

Guo

et al. 2022

IEEE Signal Process. Lett.

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“…RIS can enhance the localization performance with or without the presence of a LoS path between the access point (AP)/base station (BS) and the mobile station (MS), since they create another relatively strong path whose direction can be controlled [3]. Theoretical lower bounds on the positioning error for RIS-aided localization were obtained in [3]- [5], whereas practical positioning algorithms exploiting RIS were proposed in [6]- [8]. Hierarchical codebooks were designed for RIS phase configurations and training beamformers used to estimate angle of arrival (AoA), angle of departure (AoD) and delay parameters in [6].…”

Section: Introductionmentioning

confidence: 99%

“…A tensor-based channel estimator was derived in [7] to extract angle and delay parameters using a two-plane twin RIS structure. A path parameter estimation approach that exploits the MS position likelihood was designed in [8]. In [3]- [8], the pulse shaping / filtering effects at the transmitter and receiver are neglected, leading to an artificial enhancement of channel sparsity.…”

Section: Introductionmentioning

confidence: 99%

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Multidimensional Orthogonal Matching Pursuit-based RIS-aided Joint Localization and Channel Estimation at mmWave

Bayraktar¹,

Palacios²,

Nuria³

et al. 2022

Preprint

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RIS-aided millimeter wave wireless systems benefit from robustness to blockage and enhanced coverage. In this paper, we study the ability of RIS to also provide enhanced localization capabilities as a by-product of communication. We consider sparse reconstruction algorithms to obtain high resolution channel estimates that are mapped to position information. In RIS-aided mmWave systems, the complexity of sparse recovery becomes a bottleneck, given the large number of elements of the RIS and the large communication arrays. We propose to exploit a multidimensional orthogonal matching pursuit strategy for compressive channel estimation in a RIS-aided millimeter wave system. We show how this algorithm, based on computing the projections on a set of independent dictionaries instead of a single large dictionary, enables high accuracy channel estimation at reduced complexity. We also combine this strategy with a localization approach which does not rely on the absolute time of arrival of the LoS path. Localization results in a realistic 3D indoor scenario show that RIS-aided wireless system can also benefit from a significant improvement in localization accuracy.

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“…In addition, RIS can be used to assist radar systems in improving target detection capabilities [10], [25]. Authors in [26] established the Cram er-Rao lower bound (CRLB) of continuous RIS near-field localization error and studied the influence of RIS size on the localization error. The effect of limited RIS phase resolution was investigated in [27] for the same scenario.…”

Section: Introductionmentioning

confidence: 99%

Joint Localization and Beamforming for Reconfigurable Intelligent Surface Aided 5G mmWave Communication Systems

Yunis¹,

Lyu²,

Yang³

et al. 2022

Preprint

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Reconfigurable intelligent surface (RIS) is an attractive technology to improve the transmission rate of millimetre-wave (mmWave) communication systems. The previous research on RIS technology mainly focused on improving the transmission rate and security rate of the mmWave communication systems. Since the emergence of RIS technology creates the conditions for generating an intelligent radio environment, it also has potential advantages on improving the localization accuracy of the mmWave communication systems. Deployed on walls and objects, RISs are capable of significantly improving communications and positioning coverage by controlling the multi-path reflection. This paper considers the RIS-aided mmWave localization system and proposes a joint beamforming and localization problem. However, since the objective function depends on the unknown UE's position and instantaneous channel state information (CSI), this beamforming and localization technology based on RIS assistance is challenging. To solve this problem, we propose a new joint localization and beamforming optimization (JLBO) algorithm, and give the proof of its convergence. The simulation results show that the RIS can improve the user localization accuracy of the system and the proposed scheme has a significant performance improvement compared with the traditional schemes.

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PAPIR: Practical RIS-aided Localization via Statistical User Information

Cited by 27 publications

References 14 publications

Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

Low-Cost Beamforming and DOA Estimation Based on One-Bit Reconfigurable Intelligent Surface

Multidimensional Orthogonal Matching Pursuit-based RIS-aided Joint Localization and Channel Estimation at mmWave

Joint Localization and Beamforming for Reconfigurable Intelligent Surface Aided 5G mmWave Communication Systems

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