Distributed RIS Transmissive Arrays for Precise Target Positioning
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Solution Overview
Problem
Existing methods for target position estimation using a single transmissive Reconfigurable Intelligent Surface (RIS) suffer from insufficient positioning accuracy and prolonged computational time, especially in complex scenarios like indoor environments.
Innovation Solution
A method utilizing a distributed RIS transmissive array system with two RIS transmissive array surfaces, where a target source emits a pilot signal, and receiving RF chains process the signal to determine azimuth and elevation angles, constructing rays through array centers to calculate the target's position, enhancing spatial information redundancy and computational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single transmissive RIS is used for target position estimation, then the system structure is simple, but the positioning accuracy is insufficient and computational time is prolonged
Solution Approach 1:
The patent divides the single RIS system into multiple distributed RIS units (at least two RISs), where each RIS independently processes signals from different spatial perspectives. This segmentation increases the redundancy of spatial information and improves positioning accuracy while maintaining manageable system complexity through modular architecture
Solution Approach 2:
The patent transitions from a single-point RIS measurement to multi-point distributed RIS measurements, adding spatial dimensionality to the positioning system. By deploying RISs at different locations and utilizing their respective azimuth and elevation angle measurements, the system constructs a more comprehensive spatial information framework that significantly enhances positioning precision
2Device complexity
If a single transmissive RIS is used for target position estimation, then the device complexity is low, but the computational time for position resolution is prolonged
Solution Approach 1:
The computational task is segmented across multiple RIS units, where each RIS independently calculates azimuth and elevation angles from its received signals. This parallel processing approach distributes the computational burden, reducing the overall time required for position resolution compared to a single RIS processing all calculations sequentially
Solution Approach 2:
The patent performs preliminary angle estimation (azimuth and elevation) at each RIS before the final position calculation. By pre-processing the signal data to extract angular information at multiple distributed points, the system reduces the complexity and time of the subsequent position resolution step, enabling faster overall computation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves positioning accuracy and reduces simulation computation time, enabling high-precision target position estimation in complex environments.
Implementation Method 1
each RIS element can individually change the phase of a signal passing through it, allowing the signal to be transmitted through the transmissive RIS to form a directional beam
Implementation Method 2
the target source emits a pilot signal into space
Data Source
AI summary
A method for target position estimation based on a distributed reconfigurable intelligent surface (RIS) transmissive array is provide, including: configuring distributed RISs as an RIS transmissive array, wherein the distributed RISs include two RIS transmissive array surfaces, a target source and receiving radio frequency (RF) chains are respectively disposed on two sides of the RIS transmissive array, the receiving RF chains are connected to receiving antennas, and the target source emits a pilot signal into space; transmitting the pilot signal through the RIS transmissive array to the receiving RF chains to obtain a received signal; determining an azimuth angle β and an elevation angle α of the target source relative to each of the two RIS transmissive array surfaces by processing the received signal; and constructing two rays respectively passing through centers of the two RIS transmissive array surfaces based on the azimuth angles β and the elevation angles α of the target source relative to the two RIS transmissive array surfaces, determining a median of a shortest distance between the two rays, and determining a position of the median as a position of the target source.