Blind sparse channel identification using subspace-based algorithm

Nicthe Nataly Jimenez; Alfonso Fernandez-Vazquez; Gordana Jovanovic Dolecek

doi:10.1109/MWSCAS.2016.7870054

Blind sparse channel identification using subspace-based algorithm

Nicthe Nataly Jimenez, Alfonso Fernandez-Vazquez, Gordana Jovanovic Dolecek

Escuela Superior de Cómputo (ESCOM)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper addresses the problem of blind channel identification under sparse channel condition. Our approach is an extension of the subspace blind channel identification methods. Unlike previous approaches for blind channel identification where the optimization is in least square sense, i.e., the L2 norm, the proposed extension includes the identification of sparse channels and uses the L1 norm. By doing so, we show that the performance of the proposed method outperforms previous approach, under sparse channel conditions. Numerical examples are included in order to demonstrate the effectiveness of the proposed approach. Bit Error Rate and normalized error performances of our approach are also included.

Original language	English
Title of host publication	2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509009169
DOIs	https://doi.org/10.1109/MWSCAS.2016.7870054
State	Published - 2 Jul 2016
Event	59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates Duration: 16 Oct 2016 → 19 Oct 2016

Publication series

Name	Midwest Symposium on Circuits and Systems
Volume	0
ISSN (Print)	1548-3746

Conference

Conference	59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	16/10/16 → 19/10/16

Access to Document

10.1109/MWSCAS.2016.7870054

Cite this

Jimenez, N. N., Fernandez-Vazquez, A., & Dolecek, G. J. (2016). Blind sparse channel identification using subspace-based algorithm. In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016 Article 7870054 (Midwest Symposium on Circuits and Systems; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2016.7870054

@inproceedings{78174da2c38c4676830b6def10d00c04,

title = "Blind sparse channel identification using subspace-based algorithm",

abstract = "This paper addresses the problem of blind channel identification under sparse channel condition. Our approach is an extension of the subspace blind channel identification methods. Unlike previous approaches for blind channel identification where the optimization is in least square sense, i.e., the L2 norm, the proposed extension includes the identification of sparse channels and uses the L1 norm. By doing so, we show that the performance of the proposed method outperforms previous approach, under sparse channel conditions. Numerical examples are included in order to demonstrate the effectiveness of the proposed approach. Bit Error Rate and normalized error performances of our approach are also included.",

author = "Jimenez, {Nicthe Nataly} and Alfonso Fernandez-Vazquez and Dolecek, {Gordana Jovanovic}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 ; Conference date: 16-10-2016 Through 19-10-2016",

year = "2016",

month = jul,

day = "2",

doi = "10.1109/MWSCAS.2016.7870054",

language = "Ingl{\'e}s",

series = "Midwest Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016",

address = "Estados Unidos",

}

Jimenez, NN, Fernandez-Vazquez, A & Dolecek, GJ 2016, Blind sparse channel identification using subspace-based algorithm. in 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016., 7870054, Midwest Symposium on Circuits and Systems, vol. 0, Institute of Electrical and Electronics Engineers Inc., 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016, Abu Dhabi, United Arab Emirates, 16/10/16. https://doi.org/10.1109/MWSCAS.2016.7870054

Blind sparse channel identification using subspace-based algorithm. / Jimenez, Nicthe Nataly; Fernandez-Vazquez, Alfonso; Dolecek, Gordana Jovanovic.
2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7870054 (Midwest Symposium on Circuits and Systems; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Blind sparse channel identification using subspace-based algorithm

AU - Jimenez, Nicthe Nataly

AU - Fernandez-Vazquez, Alfonso

AU - Dolecek, Gordana Jovanovic

PY - 2016/7/2

Y1 - 2016/7/2

N2 - This paper addresses the problem of blind channel identification under sparse channel condition. Our approach is an extension of the subspace blind channel identification methods. Unlike previous approaches for blind channel identification where the optimization is in least square sense, i.e., the L2 norm, the proposed extension includes the identification of sparse channels and uses the L1 norm. By doing so, we show that the performance of the proposed method outperforms previous approach, under sparse channel conditions. Numerical examples are included in order to demonstrate the effectiveness of the proposed approach. Bit Error Rate and normalized error performances of our approach are also included.

AB - This paper addresses the problem of blind channel identification under sparse channel condition. Our approach is an extension of the subspace blind channel identification methods. Unlike previous approaches for blind channel identification where the optimization is in least square sense, i.e., the L2 norm, the proposed extension includes the identification of sparse channels and uses the L1 norm. By doing so, we show that the performance of the proposed method outperforms previous approach, under sparse channel conditions. Numerical examples are included in order to demonstrate the effectiveness of the proposed approach. Bit Error Rate and normalized error performances of our approach are also included.

UR - http://www.scopus.com/inward/record.url?scp=85015910615&partnerID=8YFLogxK

U2 - 10.1109/MWSCAS.2016.7870054

DO - 10.1109/MWSCAS.2016.7870054

M3 - Contribución a la conferencia

AN - SCOPUS:85015910615

T3 - Midwest Symposium on Circuits and Systems

BT - 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016

Y2 - 16 October 2016 through 19 October 2016

ER -

Blind sparse channel identification using subspace-based algorithm

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this