Distributed sparse channel estimation for OFDM systems with high mobility

Peng Cheng, Zhuo Chen, Lin Gui, Y. Jay Guo, Meixia Tao, Yun Rui

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


Channel estimation for an orthogonal frequency-division multiplexing (OFDM) broadband system operating with high mobility is very challenging. This is mainly due to the significant Doppler spread, inherent in a time-frequency doubly-selective (DS) channel. Consequently, a large number of channel coefficients must be estimated, forcing the need for allocating a large number of pilot subcarriers. To address this problem, we propose a novel channel estimation method based on basis expansion models (BEMs) and distributed compressive sensing (DCS) theory. To be specific, we develop a two-stage sparse BEM coefficients estimation method, which can effectively combat the Doppler spread and enable accurate channel estimation with dramatically reduced number of pilot subcarriers. The numerical results reveal that, in a typical LTE system configuration, the proposed scheme can increase the spectral efficiency by 40% and achieve a 6 dB gain in terms of normalized mean square error (NMSE), both compared to the conventional scheme. 

Original languageEnglish
Title of host publicationICC 2013
Subtitle of host publicationIEEE International Conference on Communications : proceedings
EditorsDong-In Kim, Peter Mueller
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781467331227
Publication statusPublished - 2013
Externally publishedYes
EventIEEE International Conference on Communications - Budapest, Hungary
Duration: 9 Jun 201313 Jun 2013


OtherIEEE International Conference on Communications


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