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

Fingerprint

Compressed sensing
Channel estimation
Discrete Fourier transforms
Orthogonal frequency division multiplexing

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

Effective VLSI architecture for Compressed Sensing based channel estimation in ISDB-T system. / Ferdian, Rian; Hou, Yafei; Okada, Minoru.

2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 273-276 7458360.

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

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., 7458360, Institute of Electrical and Electronics Engineers Inc., pp. 273-276, 15th International Symposium on Communications and Information Technologies, ISCIT 2015, Nara, Japan, 10/7/15. https://doi.org/10.1109/ISCIT.2015.7458360
Ferdian R, Hou Y, Okada M. 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. Institute of Electrical and Electronics Engineers Inc. 2016. p. 273-276. 7458360 https://doi.org/10.1109/ISCIT.2015.7458360
Ferdian, Rian ; Hou, Yafei ; Okada, Minoru. / Effective VLSI architecture for Compressed Sensing based channel estimation in ISDB-T system. 2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 273-276
@inproceedings{feb6b11d699d42c69733e065108d4bcc,
title = "Effective VLSI architecture for Compressed Sensing based channel estimation in ISDB-T system",
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.",
author = "Rian Ferdian and Yafei Hou and Minoru Okada",
year = "2016",
month = "4",
day = "22",
doi = "10.1109/ISCIT.2015.7458360",
language = "English",
pages = "273--276",
booktitle = "2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Effective VLSI architecture for Compressed Sensing based channel estimation in ISDB-T system

AU - Ferdian, Rian

AU - Hou, Yafei

AU - Okada, Minoru

PY - 2016/4/22

Y1 - 2016/4/22

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84978967682&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978967682&partnerID=8YFLogxK

U2 - 10.1109/ISCIT.2015.7458360

DO - 10.1109/ISCIT.2015.7458360

M3 - Conference contribution

AN - SCOPUS:84978967682

SP - 273

EP - 276

BT - 2015 15th International Symposium on Communications and Information Technologies, ISCIT 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -