Unscented Kalman Filter-based Beam Tracking in NR MIMO System using Hybrid Beamforming-Reference-Cited by-同舟云学术

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Unscented Kalman Filter-based Beam Tracking in NR MIMO System using Hybrid Beamforming

Published:2023-02-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Sim Yuna¹,Sin Seungseok²,Cho Jihun¹,Kim Kyunam³,Moon Sangmi⁴,Hwang Intae⁵

Affiliation:

1. Chonnam National University,Dept. of ICT Convergences System Engineering,Gwangju,Republic of Korea

2. Chonnam National University,Dept. of Electronics and Computer Engineering,Gwangju,Republic of Korea

3. Alps Electric Korea Co., Ltd.,Gwangju,Republic of Korea

4. Korea Nazarene University,Department of IT Artificial Intelligence,Cheonan,Republic of Korea

5. Chonnam National University,Dept. of Electronic Engineering and Dept. of ICT Convergence System Engineering,Gwangju,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066849/10066958/10067030.pdf?arnumber=10067030

Reference6 articles.

1. Hybrid Precoding with Power Allocation for NR MIMO-OFDM Systems

2. Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges

3. Unscented Kalman Filter Based Beam Tracking for UAV-enabled Millimeter Wave Massive MIMO Systems

4. The unscented Kalman filter for nonlinear estimation

5. Channel Tracking With Flight Control System for UAV mmWave MIMO Communications

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