Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS

Tao Gong; Hua Chen; Songjie Yang; Wei Liu; Chau Yuen; Hing Cheung So

doi:10.1109/ICCC65529.2025.11148902

Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS

Tao Gong
, Hua Chen^*
, Songjie Yang
, Wei Liu
, Chau Yuen
, Hing Cheung So

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

This paper focuses on the joint three-dimensional (3D) localization and synchronization problem for a user equipment (UE) and a hybrid reconfigurable intelligent surface (HRIS) in a far-field scenario under single-input multiple-output (SIMO) system. A multi-stage estimation approach, which consists of constructing a maximum likelihood (ML) framework. First, root-MUSIC algorithm is used to estimate the time-of-arrival (TOA) in each channel. Subsequently, the signal received at the HRIS terminal is exploited to formulate an ML estimator. The angular parameters in the channel are estimated through 2D searchs. Finally, derive the location parameters based on the channel parameters. The simulation results indicate that the mean square error performance of the estimated channel and position parameters approaches the Cramér-Rao bound. © 2025 IEEE.

Original language	English
Title of host publication	2025 IEEE/CIC International Conference on Communications in China (ICCC)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	979-8-3315-4444-7
DOIs	https://doi.org/10.1109/ICCC65529.2025.11148902
Publication status	Published - 2025
Event	2025 IEEE/CIC International Conference on Communications in China, ICCC 2025 - Shanghai, China Duration: 10 Aug 2025 → 13 Aug 2025

Publication series

Name	IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC

Conference

Conference	2025 IEEE/CIC International Conference on Communications in China, ICCC 2025
Place	China
City	Shanghai
Period	10/08/25 → 13/08/25

Funding

This work was supported by the Zhejiang Provincial Natural Science Foundation of China under Grant LY23F010003, by the National Natural Science Foundation of China under Grants 62222109 and 62001256, and by the UK Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/V009419/2, and by the Ministry of Education Singapore MOE Tier 2 under Grant MOE-T2EP50220-0019, and by National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme under Grant FCP-NTU-RG-2024-025.

Research Keywords

Cramér-Rao bound
Hybrid reconfigurable intelligent surface
localization
OFDM
synchronization

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10.1109/ICCC65529.2025.11148902

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Gong, T., Chen, H., Yang, S., Liu, W., Yuen, C., & So, H. C. (2025). Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS. In 2025 IEEE/CIC International Conference on Communications in China (ICCC) (IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC). IEEE. https://doi.org/10.1109/ICCC65529.2025.11148902

@inproceedings{88a7b74dab0a48238fd9bdab0ba46b16,

title = "Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS",

abstract = "This paper focuses on the joint three-dimensional (3D) localization and synchronization problem for a user equipment (UE) and a hybrid reconfigurable intelligent surface (HRIS) in a far-field scenario under single-input multiple-output (SIMO) system. A multi-stage estimation approach, which consists of constructing a maximum likelihood (ML) framework. First, root-MUSIC algorithm is used to estimate the time-of-arrival (TOA) in each channel. Subsequently, the signal received at the HRIS terminal is exploited to formulate an ML estimator. The angular parameters in the channel are estimated through 2D searchs. Finally, derive the location parameters based on the channel parameters. The simulation results indicate that the mean square error performance of the estimated channel and position parameters approaches the Cram{\'e}r-Rao bound. {\textcopyright} 2025 IEEE.",

keywords = "Cram{\'e}r-Rao bound, Hybrid reconfigurable intelligent surface, localization, OFDM, synchronization",

author = "Tao Gong and Hua Chen and Songjie Yang and Wei Liu and Chau Yuen and So, \{Hing Cheung\}",

year = "2025",

doi = "10.1109/ICCC65529.2025.11148902",

language = "English",

series = "IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC",

publisher = "IEEE",

booktitle = "2025 IEEE/CIC International Conference on Communications in China (ICCC)",

address = "United States",

note = "2025 IEEE/CIC International Conference on Communications in China, ICCC 2025 ; Conference date: 10-08-2025 Through 13-08-2025",

}

Gong, T, Chen, H, Yang, S, Liu, W, Yuen, C & So, HC 2025, Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS. in 2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC, IEEE, 2025 IEEE/CIC International Conference on Communications in China, ICCC 2025, Shanghai, China, 10/08/25. https://doi.org/10.1109/ICCC65529.2025.11148902

Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS. / Gong, Tao; Chen, Hua; Yang, Songjie et al.
2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2025. (IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS

AU - Gong, Tao

AU - Chen, Hua

AU - Yang, Songjie

AU - Liu, Wei

AU - Yuen, Chau

AU - So, Hing Cheung

PY - 2025

Y1 - 2025

N2 - This paper focuses on the joint three-dimensional (3D) localization and synchronization problem for a user equipment (UE) and a hybrid reconfigurable intelligent surface (HRIS) in a far-field scenario under single-input multiple-output (SIMO) system. A multi-stage estimation approach, which consists of constructing a maximum likelihood (ML) framework. First, root-MUSIC algorithm is used to estimate the time-of-arrival (TOA) in each channel. Subsequently, the signal received at the HRIS terminal is exploited to formulate an ML estimator. The angular parameters in the channel are estimated through 2D searchs. Finally, derive the location parameters based on the channel parameters. The simulation results indicate that the mean square error performance of the estimated channel and position parameters approaches the Cramér-Rao bound. © 2025 IEEE.

AB - This paper focuses on the joint three-dimensional (3D) localization and synchronization problem for a user equipment (UE) and a hybrid reconfigurable intelligent surface (HRIS) in a far-field scenario under single-input multiple-output (SIMO) system. A multi-stage estimation approach, which consists of constructing a maximum likelihood (ML) framework. First, root-MUSIC algorithm is used to estimate the time-of-arrival (TOA) in each channel. Subsequently, the signal received at the HRIS terminal is exploited to formulate an ML estimator. The angular parameters in the channel are estimated through 2D searchs. Finally, derive the location parameters based on the channel parameters. The simulation results indicate that the mean square error performance of the estimated channel and position parameters approaches the Cramér-Rao bound. © 2025 IEEE.

KW - Cramér-Rao bound

KW - Hybrid reconfigurable intelligent surface

KW - localization

KW - OFDM

KW - synchronization

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U2 - 10.1109/ICCC65529.2025.11148902

DO - 10.1109/ICCC65529.2025.11148902

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC

BT - 2025 IEEE/CIC International Conference on Communications in China (ICCC)

PB - IEEE

T2 - 2025 IEEE/CIC International Conference on Communications in China, ICCC 2025

Y2 - 10 August 2025 through 13 August 2025

ER -

Gong T, Chen H, Yang S, Liu W, Yuen C, So HC. Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS. In 2025 IEEE/CIC International Conference on Communications in China (ICCC). IEEE. 2025. (IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC). Epub 2025 Sept 11. doi: 10.1109/ICCC65529.2025.11148902

Multi-Stage Estimation for 3D Joint Localization in SIMO Systems with Hybrid RIS

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