Joint Bayesian channel estimation and data detection for OTFS systems in LEO satellite communications
Joint Bayesian channel estimation and data detection for OTFS systems in LEO satellite communications
Lower earth orbit (LEO) satellites play an important role in the integration of space and terrestrial communication networks, which typically encounter high-mobility scenarios. It has been shown that orthogonal time frequency space (OTFS)
modulation performs well in such high-mobility scenarios by transforming the time-varying channels into the delay-Doppler domain. In this paper, we develop a joint channel estimation and data detection algorithm for OTFS-based LEO satellite
communications. Firstly, we adopt the powerful variational Bayesian inference (VBI) method for estimating the delay-Doppler channel vector, which contains the channel gain, the delay and the Doppler. Secondly, we exploit the unknown data symbols in an OTFS frame as ‘virtual pilots’ for improving the accuracy of channel estimation and detect them simultaneously. Our simulation results demonstrate that the proposed algorithm achieves improved channel estimation mean square error and bit error rate performance than its conventional counterparts.
LEO satellites, VBI, data detection, high-mobility, joint channel estimation, orthogonal time frequency space (OTFS)
4386-4399
Wang, Xueyang
c817ee5c-00e5-4a30-af0b-3ea4a981062b
Shen, Wenqian
c3ad3e00-7ecf-4332-bfd0-b5cf05734ae5
Xing, Chengwen
2477f24d-3711-47b1-b6b4-80e2672a48d1
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 July 2022
Wang, Xueyang
c817ee5c-00e5-4a30-af0b-3ea4a981062b
Shen, Wenqian
c3ad3e00-7ecf-4332-bfd0-b5cf05734ae5
Xing, Chengwen
2477f24d-3711-47b1-b6b4-80e2672a48d1
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Xueyang, Shen, Wenqian, Xing, Chengwen, An, Jianping and Hanzo, Lajos
(2022)
Joint Bayesian channel estimation and data detection for OTFS systems in LEO satellite communications.
IEEE Transactions on Communications, 70 (7), .
(doi:10.1109/TCOMM.2022.3179389).
Abstract
Lower earth orbit (LEO) satellites play an important role in the integration of space and terrestrial communication networks, which typically encounter high-mobility scenarios. It has been shown that orthogonal time frequency space (OTFS)
modulation performs well in such high-mobility scenarios by transforming the time-varying channels into the delay-Doppler domain. In this paper, we develop a joint channel estimation and data detection algorithm for OTFS-based LEO satellite
communications. Firstly, we adopt the powerful variational Bayesian inference (VBI) method for estimating the delay-Doppler channel vector, which contains the channel gain, the delay and the Doppler. Secondly, we exploit the unknown data symbols in an OTFS frame as ‘virtual pilots’ for improving the accuracy of channel estimation and detect them simultaneously. Our simulation results demonstrate that the proposed algorithm achieves improved channel estimation mean square error and bit error rate performance than its conventional counterparts.
Text
final version-2
- Accepted Manuscript
Text
Joint_Bayesian_Channel_Estimation_and_Data_Detection_for_OTFS_Systems_in_LEO_Satellite_Communications (1)
- Accepted Manuscript
More information
Accepted/In Press date: 23 May 2022
e-pub ahead of print date: 30 May 2022
Published date: 1 July 2022
Keywords:
LEO satellites, VBI, data detection, high-mobility, joint channel estimation, orthogonal time frequency space (OTFS)
Identifiers
Local EPrints ID: 457923
URI: http://eprints.soton.ac.uk/id/eprint/457923
ISSN: 0090-6778
PURE UUID: 49301c42-57f4-476e-b9b0-565eafb199c0
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Date deposited: 22 Jun 2022 16:43
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Xueyang Wang
Author:
Wenqian Shen
Author:
Chengwen Xing
Author:
Jianping An
Author:
Lajos Hanzo
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