Compressive Near-Field Localization for Multipath RIS-Aided Environments-Reference-Cited by-同舟云学术

Compressive Near-Field Localization for Multipath RIS-Aided Environments

Published:2022-06 Issue:6 Volume:26 Page:1268-1272
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Rinchi Omar¹^ORCID,Elzanaty Ahmed²^ORCID,Alouini Mohamed-Slim³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA

2. 5GIC and 6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, U.K.

3. Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Computer, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/9792320/09709801.pdf?arnumber=9709801

Reference20 articles.

1. Channel Estimation for RIS-Aided mmWave MIMO Systems via Atomic Norm Minimization

2. Localization of Signals in the Near-Field of an Antenna Array

3. Near-field source localization using sparse recovery techniques

4. Weak RIC Analysis of Finite Gaussian Matrices for Joint Sparse Recovery

5. Limits on Sparse Data Acquisition: RIC Analysis of Finite Gaussian Matrices

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