Performance Analysis of Sparse Channel Estimators for Millimeter Wave Hybrid MIMO Systems With Non-Ideal Hardware-Reference-Cited by-同舟云学术

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Performance Analysis of Sparse Channel Estimators for Millimeter Wave Hybrid MIMO Systems With Non-Ideal Hardware

Published:2023-09 Issue:9 Volume:72 Page:11913-11923
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Shukla Vidya Bhasker¹^ORCID,Mitra Rangeet²^ORCID,Krejcar Ondrej³^ORCID,Bhatia Vimal⁴^ORCID,Choi Kwonhue⁵^ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India

2. Ecole De Technologie Superieure, University of Quebec, Montreal, QC, Canada

3. Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic

4. Department of Electrical Engineering, Center for Advanced Electronics, Indian Institute of Technology Indore, Indore, India

5. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, South Korea

Funder

National Research Foundation of Korea

Agency of Excellence

University of Hradec Kralove

Faculty of Informatics and Management

NSP of Slovak Republic

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10254672/10109185.pdf?arnumber=10109185

Reference42 articles.

1. Virtual AoA and AoD estimation for sparse millimeter wave MIMO channels

2. Efficient Channel Estimation for mmWave MIMO With Transceiver Hardware Impairments

3. Spatially Sparse Precoding in Millimeter Wave MIMO Systems

4. In-Phase and Quadrature Timing Mismatch Estimation and Compensation in Millimeter-Wave Communication Systems

5. Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications

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