A compressed sensing technique for OFDM channel estimation using full-band training symbols

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Based on compressed-sensing (CS) technique, a channel estimation scheme OFDM system for double-selected channel is proposed in this work. The variation of each channel path is fitted using a polynomial instead of the Doppler spread model, where a more flexible assumption is allowed, and the sparsity required for the CS technique is still available since each can be characterized using few parameters. In order to mitigate the inter-carrier interference (ICI) and observe the channel state information (CSI) more precisely, full-band training symbols are introduced instead of pilot tones. Combining the full-band training symbols and the polynomial fitting, a determinate measurement matrix is derived for the proposed CS channel estimation constructed using the orthogonal matching pursuit (OMP), and a more accurate channel estimation results can be provided comparing to that based on the conventional least-square (LS) algorithm. The case of multiple transmission antennas is also evaluated, and the improvement can be more significant.

Original languageEnglish
Title of host publicationICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages562-564
Number of pages3
ISBN (Electronic)9781509047499
DOIs
StatePublished - 26 07 2017
Event9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy
Duration: 04 07 201707 07 2017

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference9th International Conference on Ubiquitous and Future Networks, ICUFN 2017
Country/TerritoryItaly
CityMilan
Period04/07/1707/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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