Low-complexity compressed sensing-based channel estimation with virtual oversampling for digital terrestrial television broadcasting

Ryan Paderna, Duong Quang Thang, Yafei Hou, Takeshi Higashino, Minoru Okada

Research output: Contribution to journalArticle

3 Citations (Scopus)


This paper proposes a low-complexity compressed sensing (CS)-based time domain channel estimation with virtual oversampling for OFDM-based DTTB system. CS technique is first applied to sparse channel estimation in integrated services digital broadcasting-terrestrial (ISDB-T) system. Unfortunately, the CS-based time-domain channel estimation suffers from a performance degradation under the existence of fractional delay. Fractional delay is a common issue in time domain-based channel estimation due to sampling imperfection of channel delay time. Therefore, we propose virtual oversampling to deal with the fractional delay without increasing the signal bandwidth. Furthermore, exploiting the fact that the rate of change of path delay is slower than the path gain, a modified orthogonal matching pursuit is also proposed to reduce computational complexity. Numerical analyses of bit error rate and computational complexity are given to verify effectiveness of the proposed scheme.

Original languageEnglish
Article number7574382
Pages (from-to)82-91
Number of pages10
JournalIEEE Transactions on Broadcasting
Issue number1
Publication statusPublished - Mar 1 2017
Externally publishedYes



  • Compressed sensing
  • fractional delay
  • ISDB-T
  • low-complexity
  • orthogonal matching pursuit
  • virtual oversampling

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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