A method for profile optimization design in a positioning system based on RIS

By constructing a RIS signal and positioning reception model, combining Fisher information and position error bound analysis, the optimal profile is designed. The RIS profile is optimized to address hardware and power constraints, thereby improving the positioning accuracy and stability of the RIS-assisted positioning system, making it suitable for future 6G communications.

CN119450353BActive Publication Date: 2025-10-17TONGJI UNIV
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Patent Information

Application Number
CN202411677535.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-21
Publication Date
2025-10-17
Estimated Expiration
2044-11-21

AI Technical Summary

Technical Problem

The existing RIS profile design method is insufficient in considering actual constraints (such as hardware limitations and total power constraints), resulting in unstable positioning performance, difficulty in adapting to the needs of different scenarios, and inability to meet the requirements of future communication systems for high-precision positioning.

Method used

RIS signal model and positioning reception model are constructed, Fisher information analysis and PEB analysis are performed, and the optimal profile design is designed. Considering the RIS hardware limitations, the alternating minimization technique is used to optimize the RIS profile to meet the performance improvement under the constraints.

Benefits of technology

The positioning accuracy and stability of the RIS-assisted positioning system have been improved, making it adaptable to various scenarios, approaching the optimal solution performance, and suitable for future 6G communication systems.

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Abstract

The application discloses a profile optimization design method in a positioning system based on RIS, and the method comprises the following steps: constructing a system model, determining system component elements, i.e., an access point (AP), RIS, UE and their position relationship, establishing a signal model and a measurement model, performing Fisher information analysis, calculating a correlation matrix and parameters, and deducing a position error bound expression. Furthermore, an optimal RIS profile design strategy is proposed, an optimization problem is constructed, and the optimal covariance matrix and RIS profile design are derived by using matrix analysis and deduction. Meanwhile, considering the hardware limitation, a constrained RIS profile design is proposed, a constrained optimization problem is constructed, and the RIS profile satisfying the actual hardware constraint is obtained by using the alternating minimization technology. The application improves the positioning accuracy of user equipment (UE).
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