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Semi-passive 3D positioning of multiple RIS-enabled users
- Source :
- IEEE Transactions on Vehicular Technology, IEEE Transactions on Vehicular Technology (0018-9545) vol.70(2021)
- Publication Year :
- 2021
-
Abstract
- Reconfigurable intelligent surfaces (RISs) are set to be a revolutionary technology in the 6th generation of wireless systems. In this work, we study the application of RIS in a multi-user passive localization scenario, where we have one transmitter (Tx) and multiple asynchronous receivers (Rxs) with known locations. We aim to estimate the locations of multiple users equipped with RISs. The RISs only reflect the signal from the Tx to the Rxs and are not used as active transceivers themselves. Each Rx receives the signal from the Tx (LOS path) and the reflected signal from the RISs (NLOS path). We show that users' 3D position can be estimated with submeter accuracy in a large area around the transmitter, using the LOS and NLOS time-of-arrival measurements at the Rxs. We do so, by developing the signal model, deriving the Cramer-Rao bounds, and devising an estimator that attains these bounds. Furthermore, by orthogonalizing the RIS phase profiles across different users, we circumvent inter-path interference.
- Subjects :
- Signal Processing (eess.SP)
Computer Networks and Communications
Computer science
Real-time computing
Aerospace Engineering
02 engineering and technology
computer.software_genre
Interference (wave propagation)
Set (abstract data type)
0203 mechanical engineering
Synchronization (computer science)
FOS: Electrical engineering, electronic engineering, information engineering
Wireless
Electrical and Electronic Engineering
Electrical Engineering and Systems Science - Signal Processing
business.industry
Communication Systems
Transmitter
Cramer-Rao lower bounds
Estimator
Location awareness
020302 automobile design & engineering
Asynchronous communication
Signal Processing
Automotive Engineering
Telecommunications
passive localization
Reconfigurable intelligent surfaces
business
computer
Subjects
Details
- ISSN :
- 19399359
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi.dedup.....2a6877c3f570a3fc21ac00b88368320a
- Full Text :
- https://doi.org/10.1109/tvt.2021.3109786