In the context of single-base station (BS) non-line-of-sight (NLoS) single-epoch localization with the aid of a reflective reconfigurable intelligent surface (RIS), this paper introduces a novel three-step algorithm that jointly estimates the position and velocity of a mobile user equipment (UE), while compensating for the Doppler effects observed in near-field (NF) at the RIS elements over the short transmission duration of a sequence of downlink (DL) pilot symbols. First, a low-complexity initialization procedure is proposed, relying in part on far-field (FF) approximation and a static user assumption. Then, an alternating optimization procedure is designed to iteratively refine the velocity and position estimates, as well as the channel gain. The refinement routines leverage small angle approximations and the linearization of the RIS response, accounting for both NF and mobility effects. We evaluate the performance of the proposed algorithm through extensive simulations under diverse operating conditions with regard to signal-to-noise ratio (SNR), UE mobility, uncontrolled multipath and RIS-UE distance. Our results reveal remarkable performance improvements over the state-of-the-art (SoTA) mobility-agnostic benchmark algorithm, while indicating convergence of the proposed algorithm to respective theoretical bounds on position and velocity estimation.
Beyond $λ/2$: Can Arbitrary EMVS Arrays Achieve Unambiguous NLOS Localization?
Ningbo University（宁波大学）；South China University of Technology（华南理工大学）；The Hong Kong Polytechnic University（香港理工大学）；Queen Mary University of London（伦敦大学玛丽女王学院）；Kyung Hee University（庆熙大学）；West Virginia University（西弗吉尼亚大学）
Near-Field NLOS Localization via Position-Unknown HRIS:From Self-Localization to Target Positioning
Ningbo University（宁波大学）；South China University of Technology（华南理工大学）；Queen Mary University of London（伦敦玛丽女王大学）；The University of Texas at Dallas（德克萨斯大学达拉斯分校）；Khalifa University（哈利法大学）；University of Missouri（密苏里大学）
A Robust Two-Stage Protocol for STAR-RIS-Aided ISAC Networks: Joint Beamforming and Mode Optimization
College of Information and Communication Engineering of Harbin Engineering University（哈尔滨工程大学信息与通信工程学院）；Department of Electrical Engineering and Information Technology, University Federico II（那不勒斯费德里科二世大学电气与信息工程系）；Fields & Waves Lab, Department of Engineering, University of Sannio（桑尼奥大学工程系场与波实验室）；Department of Engineering, University of Campania Luigi Vanvitelli（坎帕尼亚路易吉范维泰利大学工程系）
A Miniaturized Broadband 1-Bit Coding Reconfigurable Intelligent Surface for NLOS UE Localization and Uplink Communication
Indraprastha Institute of Information Technology Delhi（德里信息技术学院）；Indian Institute of Technology Roorkee（印度理工学院鲁尔基分校）；Vellore Institute of Technology（维洛尔理工学院）；Indian Institute of Technology Delhi（印度理工学院德里分校）
RIS Nearfield Position and Velocity Estimation Using a Validated Propagation Model
AIT Austrian Institute of Technology GmbH（奥地利技术研究所）；Chalmers University of Technology（查尔姆斯理工大学）；University of Surrey（萨里大学）；CEA-Leti, Université Grenoble Alpes（法国原子能和替代能源委员会LETI研究所，格勒诺布尔阿尔卑斯大学）
End-to-End Mobility-Aware Multi-RIS Optimization via Blockage Detection and Closed-Form Riemannian Updates
Pohang University of Science and Technology（浦项科技大学）；Institute of New Media and Communications, Seoul National University（首尔大学新传媒研究所）；Department of Electrical and Computer Engineering, Seoul National University（首尔大学电气与计算机工程系）；Stanford University（斯坦福大学）
