Parameter-Inherited Delay Doppler Channel Estimation Based on Unitary AMP

Xinyuan WEI; Weijie YUAN; Feifei GAO; Guangjie HAN

doi:10.1109/GLOBECOM54140.2023.10436978

Parameter-Inherited Delay Doppler Channel Estimation Based on Unitary AMP

Xinyuan WEI, Weijie YUAN, Feifei GAO, Guangjie HAN

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

The orthogonal time frequency space (OTFS) technique is an innovative modulation scheme that provides significant advantages in terms of channel delay and Doppler shifts. In this work, we study the sparse delay and Doppler channel estimation problem for OTFS and consider the impact of inheriting initial and iterative parameters on adjacent estimated channel corresponding to previous OTFS transmitted blocks. We propose a parameter-inherited sparse Bayesian learning (SBL) channel estimation algorithm based on unitary approximate message passing (UAMP). Simulation results show that compared to the state-of-art SBL-based algorithms, the proposed algorithm has faster convergence speed and higher accuracy. Furthermore, by exploiting the block circulant matrix with circulant blocks (BCCB) matrix property, we replace the matrix multiplication with two-dimensional (2D) fast Fourier transform (FFT), which leads to a low complexity.

Original language	English
Title of host publication	GLOBECOM 2023 : 2023 IEEE Global Communications Conference
Publisher	IEEE
Pages	4182-4187
Number of pages	6
ISBN (Electronic)	9798350310900
DOIs	https://doi.org/10.1109/GLOBECOM54140.2023.10436978
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)	2334-0983
ISSN (Electronic)	2576-6813

Conference

Conference	2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

This work is supported in part by National Natural Science Foundation of China under Grant 62101232, in part by Science and Technology on Electronic Information Control Laboratory, in part by Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257, and in part by Shenzhen Science and Technology Program under Grant JCYJ20220530114412029.

Keywords

channel estimation
orthogonal time frequency space (OTFS)
parameters-inherited
sparse Bayesian learning (SBL)
unitary approximate message passing (UAMP)

Access to Document

10.1109/GLOBECOM54140.2023.10436978

Cite this

@inproceedings{ae2de6f340af42c18a628b544a760d88,

title = "Parameter-Inherited Delay Doppler Channel Estimation Based on Unitary AMP",

abstract = "The orthogonal time frequency space (OTFS) technique is an innovative modulation scheme that provides significant advantages in terms of channel delay and Doppler shifts. In this work, we study the sparse delay and Doppler channel estimation problem for OTFS and consider the impact of inheriting initial and iterative parameters on adjacent estimated channel corresponding to previous OTFS transmitted blocks. We propose a parameter-inherited sparse Bayesian learning (SBL) channel estimation algorithm based on unitary approximate message passing (UAMP). Simulation results show that compared to the state-of-art SBL-based algorithms, the proposed algorithm has faster convergence speed and higher accuracy. Furthermore, by exploiting the block circulant matrix with circulant blocks (BCCB) matrix property, we replace the matrix multiplication with two-dimensional (2D) fast Fourier transform (FFT), which leads to a low complexity.",

keywords = "channel estimation, orthogonal time frequency space (OTFS), parameters-inherited, sparse Bayesian learning (SBL), unitary approximate message passing (UAMP)",

author = "Xinyuan WEI and Weijie YUAN and Feifei GAO and Guangjie HAN",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Global Communications Conference, GLOBECOM 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/GLOBECOM54140.2023.10436978",

language = "English",

series = "Proceedings - IEEE Global Communications Conference, GLOBECOM",

publisher = "IEEE",

pages = "4182--4187",

booktitle = "GLOBECOM 2023 : 2023 IEEE Global Communications Conference",

}

WEI, X, YUAN, W, GAO, F & HAN, G 2023, Parameter-Inherited Delay Doppler Channel Estimation Based on Unitary AMP. in GLOBECOM 2023 : 2023 IEEE Global Communications Conference. Proceedings - IEEE Global Communications Conference, GLOBECOM, IEEE, pp. 4182-4187, 2023 IEEE Global Communications Conference, GLOBECOM 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GLOBECOM54140.2023.10436978

Parameter-Inherited Delay Doppler Channel Estimation Based on Unitary AMP. / WEI, Xinyuan; YUAN, Weijie; GAO, Feifei et al.
GLOBECOM 2023 : 2023 IEEE Global Communications Conference. IEEE, 2023. p. 4182-4187 (Proceedings - IEEE Global Communications Conference, GLOBECOM).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Parameter-Inherited Delay Doppler Channel Estimation Based on Unitary AMP

AU - WEI, Xinyuan

AU - YUAN, Weijie

AU - GAO, Feifei

AU - HAN, Guangjie

PY - 2023

Y1 - 2023

N2 - The orthogonal time frequency space (OTFS) technique is an innovative modulation scheme that provides significant advantages in terms of channel delay and Doppler shifts. In this work, we study the sparse delay and Doppler channel estimation problem for OTFS and consider the impact of inheriting initial and iterative parameters on adjacent estimated channel corresponding to previous OTFS transmitted blocks. We propose a parameter-inherited sparse Bayesian learning (SBL) channel estimation algorithm based on unitary approximate message passing (UAMP). Simulation results show that compared to the state-of-art SBL-based algorithms, the proposed algorithm has faster convergence speed and higher accuracy. Furthermore, by exploiting the block circulant matrix with circulant blocks (BCCB) matrix property, we replace the matrix multiplication with two-dimensional (2D) fast Fourier transform (FFT), which leads to a low complexity.

AB - The orthogonal time frequency space (OTFS) technique is an innovative modulation scheme that provides significant advantages in terms of channel delay and Doppler shifts. In this work, we study the sparse delay and Doppler channel estimation problem for OTFS and consider the impact of inheriting initial and iterative parameters on adjacent estimated channel corresponding to previous OTFS transmitted blocks. We propose a parameter-inherited sparse Bayesian learning (SBL) channel estimation algorithm based on unitary approximate message passing (UAMP). Simulation results show that compared to the state-of-art SBL-based algorithms, the proposed algorithm has faster convergence speed and higher accuracy. Furthermore, by exploiting the block circulant matrix with circulant blocks (BCCB) matrix property, we replace the matrix multiplication with two-dimensional (2D) fast Fourier transform (FFT), which leads to a low complexity.

KW - channel estimation

KW - orthogonal time frequency space (OTFS)

KW - parameters-inherited

KW - sparse Bayesian learning (SBL)

KW - unitary approximate message passing (UAMP)

UR - http://www.scopus.com/inward/record.url?scp=85187358734&partnerID=8YFLogxK

U2 - 10.1109/GLOBECOM54140.2023.10436978

DO - 10.1109/GLOBECOM54140.2023.10436978

M3 - Conference paper (refereed)

AN - SCOPUS:85187358734

T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM

SP - 4182

EP - 4187

BT - GLOBECOM 2023 : 2023 IEEE Global Communications Conference

PB - IEEE

T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023

Y2 - 4 December 2023 through 8 December 2023

ER -

Parameter-Inherited Delay Doppler Channel Estimation Based on Unitary AMP

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this