Sparse coding for transform domain-based sparse OFDM channel estimation

Mahmoud Nazzal; Mehmet Ali Aygul; Ali Gorcin; Huseyin Arslan

doi:10.1109/SIU.2019.8806326

Sparse coding for transform domain-based sparse OFDM channel estimation

Mahmoud Nazzal, Mehmet Ali Aygul, Ali Gorcin, Huseyin Arslan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In orthogonal frequency division multiplexing (OFDM) systems, frequency domain pilot-aided channel estimation is based on interpolating a down-sampled version of the channel frequency response. This is achieved by transforming the channel frequency response to the time domain, eliminating time-domain channel coefficients beyond a given delay spread, and transforming back to the frequency domain. A sliding window is used to identify the most dominant channel coefficients within a prescribed delay spread which will be retained, where others will be eliminated. This setting relies on assuming a consecutive channel tap distribution and overlooks possible channel sparsity. To take advantage of this sparsity, we propose a method for obtaining the channel taps as a sparse recovery process. The proposed method is shown to substantially improve the channel estimation quality. The improvement is commensurate with the sparsity of the channel.

Original language	English
Title of host publication	27th Signal Processing and Communications Applications Conference, SIU 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728119045
DOIs	https://doi.org/10.1109/SIU.2019.8806326
Publication status	Published - Apr 2019
Externally published	Yes
Event	27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

Name	27th Signal Processing and Communications Applications Conference, SIU 2019

Conference

Conference	27th Signal Processing and Communications Applications Conference, SIU 2019
Country/Territory	Turkey
City	Sivas
Period	24/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Funding

This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant No. 116E078.

Funders	Funder number
TUBITAK	116E078
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Keywords

Channel estimation
OFDM
Sparse coding

Access to Document

10.1109/SIU.2019.8806326

Cite this

Nazzal, M., Aygul, M. A., Gorcin, A., & Arslan, H. (2019). Sparse coding for transform domain-based sparse OFDM channel estimation. In 27th Signal Processing and Communications Applications Conference, SIU 2019 Article 8806326 (27th Signal Processing and Communications Applications Conference, SIU 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2019.8806326

@inproceedings{b830c53a00c549d9a23b453ab1296422,

title = "Sparse coding for transform domain-based sparse OFDM channel estimation",

abstract = "In orthogonal frequency division multiplexing (OFDM) systems, frequency domain pilot-aided channel estimation is based on interpolating a down-sampled version of the channel frequency response. This is achieved by transforming the channel frequency response to the time domain, eliminating time-domain channel coefficients beyond a given delay spread, and transforming back to the frequency domain. A sliding window is used to identify the most dominant channel coefficients within a prescribed delay spread which will be retained, where others will be eliminated. This setting relies on assuming a consecutive channel tap distribution and overlooks possible channel sparsity. To take advantage of this sparsity, we propose a method for obtaining the channel taps as a sparse recovery process. The proposed method is shown to substantially improve the channel estimation quality. The improvement is commensurate with the sparsity of the channel.",

keywords = "Channel estimation, OFDM, Sparse coding",

author = "Mahmoud Nazzal and Aygul, \{Mehmet Ali\} and Ali Gorcin and Huseyin Arslan",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th Signal Processing and Communications Applications Conference, SIU 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

year = "2019",

month = apr,

doi = "10.1109/SIU.2019.8806326",

language = "English",

series = "27th Signal Processing and Communications Applications Conference, SIU 2019",

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

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Nazzal, M, Aygul, MA, Gorcin, A & Arslan, H 2019, Sparse coding for transform domain-based sparse OFDM channel estimation. in 27th Signal Processing and Communications Applications Conference, SIU 2019., 8806326, 27th Signal Processing and Communications Applications Conference, SIU 2019, Institute of Electrical and Electronics Engineers Inc., 27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Turkey, 24/04/19. https://doi.org/10.1109/SIU.2019.8806326

Sparse coding for transform domain-based sparse OFDM channel estimation. / Nazzal, Mahmoud; Aygul, Mehmet Ali; Gorcin, Ali et al.
27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8806326 (27th Signal Processing and Communications Applications Conference, SIU 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sparse coding for transform domain-based sparse OFDM channel estimation

AU - Nazzal, Mahmoud

AU - Aygul, Mehmet Ali

AU - Gorcin, Ali

AU - Arslan, Huseyin

PY - 2019/4

Y1 - 2019/4

N2 - In orthogonal frequency division multiplexing (OFDM) systems, frequency domain pilot-aided channel estimation is based on interpolating a down-sampled version of the channel frequency response. This is achieved by transforming the channel frequency response to the time domain, eliminating time-domain channel coefficients beyond a given delay spread, and transforming back to the frequency domain. A sliding window is used to identify the most dominant channel coefficients within a prescribed delay spread which will be retained, where others will be eliminated. This setting relies on assuming a consecutive channel tap distribution and overlooks possible channel sparsity. To take advantage of this sparsity, we propose a method for obtaining the channel taps as a sparse recovery process. The proposed method is shown to substantially improve the channel estimation quality. The improvement is commensurate with the sparsity of the channel.

AB - In orthogonal frequency division multiplexing (OFDM) systems, frequency domain pilot-aided channel estimation is based on interpolating a down-sampled version of the channel frequency response. This is achieved by transforming the channel frequency response to the time domain, eliminating time-domain channel coefficients beyond a given delay spread, and transforming back to the frequency domain. A sliding window is used to identify the most dominant channel coefficients within a prescribed delay spread which will be retained, where others will be eliminated. This setting relies on assuming a consecutive channel tap distribution and overlooks possible channel sparsity. To take advantage of this sparsity, we propose a method for obtaining the channel taps as a sparse recovery process. The proposed method is shown to substantially improve the channel estimation quality. The improvement is commensurate with the sparsity of the channel.

KW - Channel estimation

KW - OFDM

KW - Sparse coding

UR - https://www.scopus.com/pages/publications/85071981211

U2 - 10.1109/SIU.2019.8806326

DO - 10.1109/SIU.2019.8806326

M3 - Conference contribution

AN - SCOPUS:85071981211

T3 - 27th Signal Processing and Communications Applications Conference, SIU 2019

BT - 27th Signal Processing and Communications Applications Conference, SIU 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Signal Processing and Communications Applications Conference, SIU 2019

Y2 - 24 April 2019 through 26 April 2019

ER -

Nazzal M, Aygul MA, Gorcin A, Arslan H. Sparse coding for transform domain-based sparse OFDM channel estimation. In 27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8806326. (27th Signal Processing and Communications Applications Conference, SIU 2019). doi: 10.1109/SIU.2019.8806326

Sparse coding for transform domain-based sparse OFDM channel estimation

Abstract

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Keywords

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