Synchronization and Channel Estimation Design for Multi-Stream MIMO System in Sub-Terahertz Channel Model

This article presents an advanced synchronization and channel estimation architecture for multi-stream MIMO systems in sub-terahertz environments. To streamline hardware complexity, we employ Golay cross-correlation across all detection and estimation schemes. Key innovations include a precise timin...

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Main Authors: Chung-Lun Tu, Chen-Yuan Tseng, Wei-Che Lee, Kang-Lun Chiu, Pei-Yun Tsai, Shyh-Jye Jou
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Circuits and Systems
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Online Access:https://ieeexplore.ieee.org/document/10777587/
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author Chung-Lun Tu
Chen-Yuan Tseng
Wei-Che Lee
Kang-Lun Chiu
Pei-Yun Tsai
Shyh-Jye Jou
author_facet Chung-Lun Tu
Chen-Yuan Tseng
Wei-Che Lee
Kang-Lun Chiu
Pei-Yun Tsai
Shyh-Jye Jou
author_sort Chung-Lun Tu
collection DOAJ
description This article presents an advanced synchronization and channel estimation architecture for multi-stream MIMO systems in sub-terahertz environments. To streamline hardware complexity, we employ Golay cross-correlation across all detection and estimation schemes. Key innovations include a precise timing detection algorithm that utilizes pulse shaping impulse response and quadratic regression, along with multiple window-based approaches to enhance performance against non-ideal effects. At the architectural level, a shared optimized Golay correlator reduces hardware usage by 23%, efficiently handling multiple correlation lengths in a single design. Additionally, we propose an indexing-count method that addresses sorting challenges, achieving notable improvements in processing speed and complexity reduction. The proposed design supports the highest modulation schemes defined in IEEE Std. 802.15.3d, achieving an uncoded bit error rate of <inline-formula> <tex-math notation="LaTeX">$1.96\times 10^{-4}$ </tex-math></inline-formula> for 16-QAM and 64-QAM at SNRs of 18.8 dB and 25 dB, respectively. This meets the IEEE Std. 802.15.3d standard of <inline-formula> <tex-math notation="LaTeX">$10^{-12}$ </tex-math></inline-formula> at SNRs of 19.6 dB and 25.6 dB for these modulation schemes after error correction. Our hardware operates at a clock rate of 1.76 GHz, enabling dual-stream transmission and achieving a throughput of 21.12 Gb/s with 64-QAM modulation.
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institution Kabale University
issn 2644-1225
language English
publishDate 2025-01-01
publisher IEEE
record_format Article
series IEEE Open Journal of Circuits and Systems
spelling doaj-art-6fd4d138fe0e44c3ae669a370b933b3b2025-01-10T00:03:48ZengIEEEIEEE Open Journal of Circuits and Systems2644-12252025-01-016142510.1109/OJCAS.2024.351092110777587Synchronization and Channel Estimation Design for Multi-Stream MIMO System in Sub-Terahertz Channel ModelChung-Lun Tu0https://orcid.org/0009-0005-9669-6886Chen-Yuan Tseng1Wei-Che Lee2Kang-Lun Chiu3Pei-Yun Tsai4https://orcid.org/0000-0002-6088-3875Shyh-Jye Jou5https://orcid.org/0000-0002-8821-3486Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, TaiwanInstitute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, TaiwanInstitute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, TaiwanInstitute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, TaiwanDepartment of Electrical Engineering, National Central University, Jhongli, TaiwanInstitute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, TaiwanThis article presents an advanced synchronization and channel estimation architecture for multi-stream MIMO systems in sub-terahertz environments. To streamline hardware complexity, we employ Golay cross-correlation across all detection and estimation schemes. Key innovations include a precise timing detection algorithm that utilizes pulse shaping impulse response and quadratic regression, along with multiple window-based approaches to enhance performance against non-ideal effects. At the architectural level, a shared optimized Golay correlator reduces hardware usage by 23%, efficiently handling multiple correlation lengths in a single design. Additionally, we propose an indexing-count method that addresses sorting challenges, achieving notable improvements in processing speed and complexity reduction. The proposed design supports the highest modulation schemes defined in IEEE Std. 802.15.3d, achieving an uncoded bit error rate of <inline-formula> <tex-math notation="LaTeX">$1.96\times 10^{-4}$ </tex-math></inline-formula> for 16-QAM and 64-QAM at SNRs of 18.8 dB and 25 dB, respectively. This meets the IEEE Std. 802.15.3d standard of <inline-formula> <tex-math notation="LaTeX">$10^{-12}$ </tex-math></inline-formula> at SNRs of 19.6 dB and 25.6 dB for these modulation schemes after error correction. Our hardware operates at a clock rate of 1.76 GHz, enabling dual-stream transmission and achieving a throughput of 21.12 Gb/s with 64-QAM modulation.https://ieeexplore.ieee.org/document/10777587/Hybrid beamformingmulti-streamMIMOsynchronizationchannel estimationIEEE 802.11ay
spellingShingle Chung-Lun Tu
Chen-Yuan Tseng
Wei-Che Lee
Kang-Lun Chiu
Pei-Yun Tsai
Shyh-Jye Jou
Synchronization and Channel Estimation Design for Multi-Stream MIMO System in Sub-Terahertz Channel Model
IEEE Open Journal of Circuits and Systems
Hybrid beamforming
multi-stream
MIMO
synchronization
channel estimation
IEEE 802.11ay
title Synchronization and Channel Estimation Design for Multi-Stream MIMO System in Sub-Terahertz Channel Model
title_full Synchronization and Channel Estimation Design for Multi-Stream MIMO System in Sub-Terahertz Channel Model
title_fullStr Synchronization and Channel Estimation Design for Multi-Stream MIMO System in Sub-Terahertz Channel Model
title_full_unstemmed Synchronization and Channel Estimation Design for Multi-Stream MIMO System in Sub-Terahertz Channel Model
title_short Synchronization and Channel Estimation Design for Multi-Stream MIMO System in Sub-Terahertz Channel Model
title_sort synchronization and channel estimation design for multi stream mimo system in sub terahertz channel model
topic Hybrid beamforming
multi-stream
MIMO
synchronization
channel estimation
IEEE 802.11ay
url https://ieeexplore.ieee.org/document/10777587/
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