Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems
This paper is focused on training sequence design for efficient channel estimation in multiple-input multiple-output filterbank multicarrier (MIMO-FBMC) communications using offset quadrature amplitude modulation (OQAM). MIMO-FBMC is a promising technique to achieve high spectrum efficiency as well...
Main Authors: | , , , , , |
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Format: | Journal Article |
Language: | English |
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2017
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Online Access: | https://hdl.handle.net/10356/86875 http://hdl.handle.net/10220/44221 |
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author | Hu, Su Liu, Zilong Guan, Yong Liang Jin, Chuanxue Huang, Yixuan Wu, Jen-Ming |
author2 | School of Electrical and Electronic Engineering |
author_facet | School of Electrical and Electronic Engineering Hu, Su Liu, Zilong Guan, Yong Liang Jin, Chuanxue Huang, Yixuan Wu, Jen-Ming |
author_sort | Hu, Su |
collection | NTU |
description | This paper is focused on training sequence design for efficient channel estimation in multiple-input multiple-output filterbank multicarrier (MIMO-FBMC) communications using offset quadrature amplitude modulation (OQAM). MIMO-FBMC is a promising technique to achieve high spectrum efficiency as well as strong robustness against dispersive channels due to its feature of time-frequency localization. A salient drawback of FBMC/OQAM signals is that only real-field orthogonality can be kept, leading to the intrinsic imaginary interference being a barrier for high-performance channel estimations. Also, conventional channel estimations in the MIMO-FBMC systems mostly suffer from high training overhead especially for large number of transmit antennas. Motivated by these problems, in this paper, we propose a new class of training sequences, which are formed by concatenation of two identical zero-correlation zone sequences whose auto-correlation and cross correlation are zero within a time-shift window around the in-phase position. Since only real-valued symbols can be transmitted in MIMO-FBMC systems, we propose “complex training sequence decomposition (CTSD)” to facilitate the reconstruction of the complex-field orthogonality of MIMO-FBMC signals. Our simulations validate that the proposed CTSD is an efficient channel estimation approach for practical preamble-based MIMO-FBMC systems. |
first_indexed | 2024-10-01T06:13:42Z |
format | Journal Article |
id | ntu-10356/86875 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:13:42Z |
publishDate | 2017 |
record_format | dspace |
spelling | ntu-10356/868752020-03-07T13:57:30Z Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems Hu, Su Liu, Zilong Guan, Yong Liang Jin, Chuanxue Huang, Yixuan Wu, Jen-Ming School of Electrical and Electronic Engineering Multiple-input Multiple-output (MIMO) Filterbank Multicarrier (FBMC) This paper is focused on training sequence design for efficient channel estimation in multiple-input multiple-output filterbank multicarrier (MIMO-FBMC) communications using offset quadrature amplitude modulation (OQAM). MIMO-FBMC is a promising technique to achieve high spectrum efficiency as well as strong robustness against dispersive channels due to its feature of time-frequency localization. A salient drawback of FBMC/OQAM signals is that only real-field orthogonality can be kept, leading to the intrinsic imaginary interference being a barrier for high-performance channel estimations. Also, conventional channel estimations in the MIMO-FBMC systems mostly suffer from high training overhead especially for large number of transmit antennas. Motivated by these problems, in this paper, we propose a new class of training sequences, which are formed by concatenation of two identical zero-correlation zone sequences whose auto-correlation and cross correlation are zero within a time-shift window around the in-phase position. Since only real-valued symbols can be transmitted in MIMO-FBMC systems, we propose “complex training sequence decomposition (CTSD)” to facilitate the reconstruction of the complex-field orthogonality of MIMO-FBMC signals. Our simulations validate that the proposed CTSD is an efficient channel estimation approach for practical preamble-based MIMO-FBMC systems. NRF (Natl Research Foundation, S’pore) Published version 2017-12-28T06:47:47Z 2019-12-06T16:30:43Z 2017-12-28T06:47:47Z 2019-12-06T16:30:43Z 2017 Journal Article Hu, S., Liu, Z., Guan, Y. L., Jin, C., Huang, Y., & Wu, J.-M. (2017). Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems. IEEE Access, 5, 4747-4758. https://hdl.handle.net/10356/86875 http://hdl.handle.net/10220/44221 10.1109/ACCESS.2017.2688399 en IEEE Access © 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 12 p. application/pdf |
spellingShingle | Multiple-input Multiple-output (MIMO) Filterbank Multicarrier (FBMC) Hu, Su Liu, Zilong Guan, Yong Liang Jin, Chuanxue Huang, Yixuan Wu, Jen-Ming Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems |
title | Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems |
title_full | Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems |
title_fullStr | Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems |
title_full_unstemmed | Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems |
title_short | Training Sequence Design for Efficient Channel Estimation in MIMO-FBMC Systems |
title_sort | training sequence design for efficient channel estimation in mimo fbmc systems |
topic | Multiple-input Multiple-output (MIMO) Filterbank Multicarrier (FBMC) |
url | https://hdl.handle.net/10356/86875 http://hdl.handle.net/10220/44221 |
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