Pilot design for BEM-Based channel estimation in doubly selective channel
This paper investigates pilot design for enhanced channel estimation in single carrier communication systems over doubly-selective channels (DSC). Our contribution is twofold: first, we propose to use Huffman sequences as pilot clusters with low peak-to-average power ratio (PAPR), yet with good chan...
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sg-ntu-dr.10356-1649772023-03-10T01:10:38Z Pilot design for BEM-Based channel estimation in doubly selective channel Anand, Kushal Guan, Yong Liang Liu, Xiaobei Liu, Zilong Yang, Yang Zhou, Zhengchun Fan, Pingzhi Gunawan, Erry School of Electrical and Electronic Engineering Temasek Laboratories @ NTU Engineering::Electrical and electronic engineering::Wireless communication systems Doubly-Selective Channels Channel Estimation This paper investigates pilot design for enhanced channel estimation in single carrier communication systems over doubly-selective channels (DSC). Our contribution is twofold: first, we propose to use Huffman sequences as pilot clusters with low peak-to-average power ratio (PAPR), yet with good channel estimation performance when periodic pilot placement is adopted; second, we propose a low-complexity pilot placement strategy based on the analysis of the complex-exponential basis expansion model (CE-BEM) of the DSC. The latter leads to improved channel estimation performance with useful insights for pilot placement. Nanyang Technological University National Research Foundation (NRF) This work was supported by the NRF-NSFC project under Grant NRF2016NRF-NSFC001-089. The works of Y. L. Guan and X. Liu were supported by Temasek Laboratories@NTU Signal Research Programme 3 Grant. 2023-03-10T01:10:38Z 2023-03-10T01:10:38Z 2019 Journal Article Anand, K., Guan, Y. L., Liu, X., Liu, Z., Yang, Y., Zhou, Z., Fan, P. & Gunawan, E. (2019). Pilot design for BEM-Based channel estimation in doubly selective channel. IEEE Transactions On Vehicular Technology, 69(2), 1679-1694. https://dx.doi.org/10.1109/TVT.2019.2958976 0018-9545 https://hdl.handle.net/10356/164977 10.1109/TVT.2019.2958976 2-s2.0-85079750963 2 69 1679 1694 en NRF2016NRF-NSFC001-089 DSOCL17187 IEEE Transactions on Vehicular Technology © 2019 IEEE. All rights reserved. |
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Engineering::Electrical and electronic engineering::Wireless communication systems Doubly-Selective Channels Channel Estimation Anand, Kushal Guan, Yong Liang Liu, Xiaobei Liu, Zilong Yang, Yang Zhou, Zhengchun Fan, Pingzhi Gunawan, Erry Pilot design for BEM-Based channel estimation in doubly selective channel |
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This paper investigates pilot design for enhanced channel estimation in single carrier communication systems over doubly-selective channels (DSC). Our contribution is twofold: first, we propose to use Huffman sequences as pilot clusters with low peak-to-average power ratio (PAPR), yet with good channel estimation performance when periodic pilot placement is adopted; second, we propose a low-complexity pilot placement strategy based on the analysis of the complex-exponential basis expansion model (CE-BEM) of the DSC. The latter leads to improved channel estimation performance with useful insights for pilot placement. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Anand, Kushal Guan, Yong Liang Liu, Xiaobei Liu, Zilong Yang, Yang Zhou, Zhengchun Fan, Pingzhi Gunawan, Erry |
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Article |
author |
Anand, Kushal Guan, Yong Liang Liu, Xiaobei Liu, Zilong Yang, Yang Zhou, Zhengchun Fan, Pingzhi Gunawan, Erry |
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Anand, Kushal |
title |
Pilot design for BEM-Based channel estimation in doubly selective channel |
title_short |
Pilot design for BEM-Based channel estimation in doubly selective channel |
title_full |
Pilot design for BEM-Based channel estimation in doubly selective channel |
title_fullStr |
Pilot design for BEM-Based channel estimation in doubly selective channel |
title_full_unstemmed |
Pilot design for BEM-Based channel estimation in doubly selective channel |
title_sort |
pilot design for bem-based channel estimation in doubly selective channel |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/164977 |
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1761781735709736960 |