MF-OAMP-Based Joint Channel Estimation and Data Detection for OTFS Systems

Haifeng WEN; Weijie YUAN; Chau YUEN; Yonghui LI

doi:10.1109/TVT.2023.3319562

MF-OAMP-Based Joint Channel Estimation and Data Detection for OTFS Systems

Haifeng WEN, Weijie YUAN^*, Chau YUEN, Yonghui LI

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

1 Citation (Scopus)

Abstract

To overcome the low spectral efficiency issue caused by large guard space adopted in conventional channel estimation schemes for orthogonal time frequency space (OTFS) systems, superimposed pilot-data placement schemes without the use of guard space have been considered in the literature. However, it is still an open problem for efficient joint channel estimation and OTFS symbol detection based on superimposed pilot-data placement schemes. In this work, an orthogonal approximate message passing (OAMP) based joint channel estimation and detection algorithm with the aid of mean-field (MF) message passing is proposed. In particular, soft information corresponding to the effective channel matrix and data symbols are fed OAMP-based symbol detector and channel estimator via MF, respectively. Thanks to the MF message passing rules, enhanced error performance is brought by iterative information exchange between the OTFS detector and the channel estimator. Numerical results demonstrate that the proposed iterative algorithm can efficiently detect the data symbols without the use of guard space.

Original language	English
Pages (from-to)	2948-2953
Number of pages	6
Journal	IEEE Transactions on Vehicular Technology
Volume	73
Issue number	2
Early online date	26 Sept 2023
DOIs	https://doi.org/10.1109/TVT.2023.3319562
Publication status	Published - Feb 2024
Externally published	Yes

Bibliographical note

This work was supported in part by the National Natural Science Foundation of China under Grant 62101232, in part by Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257, in part by Shenzhen Science and Technology Program under Grant JCYJ20220530114412029, in part by the Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things, and in part by the Guangzhou Municipal Science and Technology Project under Grant 2023A03J0663. The review of this article was coordinated by Prof. Arafat J Al-Dweik.

Keywords

channel estimation
detection
mean-field
OAMP
Orthogonal time frequency space (OTFS)

Access to Document

10.1109/TVT.2023.3319562

Cite this

@article{8ecba99bbe8245ca979e796c7ed7772a,

title = "MF-OAMP-Based Joint Channel Estimation and Data Detection for OTFS Systems",

abstract = "To overcome the low spectral efficiency issue caused by large guard space adopted in conventional channel estimation schemes for orthogonal time frequency space (OTFS) systems, superimposed pilot-data placement schemes without the use of guard space have been considered in the literature. However, it is still an open problem for efficient joint channel estimation and OTFS symbol detection based on superimposed pilot-data placement schemes. In this work, an orthogonal approximate message passing (OAMP) based joint channel estimation and detection algorithm with the aid of mean-field (MF) message passing is proposed. In particular, soft information corresponding to the effective channel matrix and data symbols are fed OAMP-based symbol detector and channel estimator via MF, respectively. Thanks to the MF message passing rules, enhanced error performance is brought by iterative information exchange between the OTFS detector and the channel estimator. Numerical results demonstrate that the proposed iterative algorithm can efficiently detect the data symbols without the use of guard space.",

keywords = "channel estimation, detection, mean-field, OAMP, Orthogonal time frequency space (OTFS)",

author = "Haifeng WEN and Weijie YUAN and Chau YUEN and Yonghui LI",

note = "This work was supported in part by the National Natural Science Foundation of China under Grant 62101232, in part by Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257, in part by Shenzhen Science and Technology Program under Grant JCYJ20220530114412029, in part by the Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things, and in part by the Guangzhou Municipal Science and Technology Project under Grant 2023A03J0663. The review of this article was coordinated by Prof. Arafat J Al-Dweik.",

year = "2024",

month = feb,

doi = "10.1109/TVT.2023.3319562",

language = "English",

volume = "73",

pages = "2948--2953",

journal = "IEEE Transactions on Vehicular Technology",

issn = "0018-9545",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

TY - JOUR

T1 - MF-OAMP-Based Joint Channel Estimation and Data Detection for OTFS Systems

AU - WEN, Haifeng

AU - YUAN, Weijie

AU - YUEN, Chau

AU - LI, Yonghui

N1 - This work was supported in part by the National Natural Science Foundation of China under Grant 62101232, in part by Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257, in part by Shenzhen Science and Technology Program under Grant JCYJ20220530114412029, in part by the Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things, and in part by the Guangzhou Municipal Science and Technology Project under Grant 2023A03J0663. The review of this article was coordinated by Prof. Arafat J Al-Dweik.

PY - 2024/2

Y1 - 2024/2

N2 - To overcome the low spectral efficiency issue caused by large guard space adopted in conventional channel estimation schemes for orthogonal time frequency space (OTFS) systems, superimposed pilot-data placement schemes without the use of guard space have been considered in the literature. However, it is still an open problem for efficient joint channel estimation and OTFS symbol detection based on superimposed pilot-data placement schemes. In this work, an orthogonal approximate message passing (OAMP) based joint channel estimation and detection algorithm with the aid of mean-field (MF) message passing is proposed. In particular, soft information corresponding to the effective channel matrix and data symbols are fed OAMP-based symbol detector and channel estimator via MF, respectively. Thanks to the MF message passing rules, enhanced error performance is brought by iterative information exchange between the OTFS detector and the channel estimator. Numerical results demonstrate that the proposed iterative algorithm can efficiently detect the data symbols without the use of guard space.

AB - To overcome the low spectral efficiency issue caused by large guard space adopted in conventional channel estimation schemes for orthogonal time frequency space (OTFS) systems, superimposed pilot-data placement schemes without the use of guard space have been considered in the literature. However, it is still an open problem for efficient joint channel estimation and OTFS symbol detection based on superimposed pilot-data placement schemes. In this work, an orthogonal approximate message passing (OAMP) based joint channel estimation and detection algorithm with the aid of mean-field (MF) message passing is proposed. In particular, soft information corresponding to the effective channel matrix and data symbols are fed OAMP-based symbol detector and channel estimator via MF, respectively. Thanks to the MF message passing rules, enhanced error performance is brought by iterative information exchange between the OTFS detector and the channel estimator. Numerical results demonstrate that the proposed iterative algorithm can efficiently detect the data symbols without the use of guard space.

KW - channel estimation

KW - detection

KW - mean-field

KW - OAMP

KW - Orthogonal time frequency space (OTFS)

UR - http://www.scopus.com/inward/record.url?scp=85163015955&partnerID=8YFLogxK

U2 - 10.1109/TVT.2023.3319562

DO - 10.1109/TVT.2023.3319562

M3 - Journal Article (refereed)

AN - SCOPUS:85163015955

SN - 0018-9545

VL - 73

SP - 2948

EP - 2953

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

IS - 2

ER -

MF-OAMP-Based Joint Channel Estimation and Data Detection for OTFS Systems

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this