Effective VLSI architecture for Compressed Sensing based channel estimation in ISDB-T system

Rian Ferdian, Yafei Hou, Minoru Okada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Compressed Sensing (CS) based channel estimation has been proven to give a better reconstruction results compared to conventional method. Despite promising a better result, CS based channel estimation still suffers from high complexity computations due to huge matrix multiplication and matrix inversion operations. This paper will propose an effective CS based channel estimation VLSI architecture for ISDB-T system. Since ISDB-T system is using orthogonal frequency division multiplexing (OFDM) technique for its transmission, its CS channel estimation will utilize a measurement matrix which is formed by parts of Discrete Fourier Transform (DFT) matrix. By exploiting the fact that the measurement matrix will inherit some symmetrical properties from DFT matrix, we can achieve a low complexity CS based channel estimation for practical implementation.

Original languageEnglish
Title of host publication2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages273-276
Number of pages4
ISBN (Electronic)9781467368209
DOIs
Publication statusPublished - Apr 22 2016
Externally publishedYes
Event15th International Symposium on Communications and Information Technologies, ISCIT 2015 - Nara, Japan
Duration: Oct 7 2015Oct 9 2015

Other

Other15th International Symposium on Communications and Information Technologies, ISCIT 2015
CountryJapan
CityNara
Period10/7/1510/9/15

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Ferdian, R., Hou, Y., & Okada, M. (2016). Effective VLSI architecture for Compressed Sensing based channel estimation in ISDB-T system. In 2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015 (pp. 273-276). [7458360] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCIT.2015.7458360