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 proceedingConference contributionpeer-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 languageEnglish
Title of host publication27th Signal Processing and Communications Applications Conference, SIU 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728119045
DOIs
Publication statusPublished - Apr 2019
Externally publishedYes
Event27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey
Duration: 24 Apr 201926 Apr 2019

Publication series

Name27th Signal Processing and Communications Applications Conference, SIU 2019

Conference

Conference27th Signal Processing and Communications Applications Conference, SIU 2019
Country/TerritoryTurkey
CitySivas
Period24/04/1926/04/19

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.

FundersFunder number
TUBITAK116E078
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Keywords

    • Channel estimation
    • OFDM
    • Sparse coding

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