Blind Adaptive Channel Estimation using Structure Subspace Tracking

Abdulmajid Lawal; Karim Abed-Meraim; Qadri Mayyala; Naveed Iqbal; Azzedine Zerguine

doi:10.1109/IEEECONF53345.2021.9723214

Blind Adaptive Channel Estimation using Structure Subspace Tracking

Abdulmajid Lawal, Karim Abed-Meraim, Qadri Mayyala, Naveed Iqbal, Azzedine Zerguine

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

3 Scopus citations

Abstract

In this work, an adaptive blind structure subspace algorithm is developed. The proposed algorithm tracks the signal subspace and estimates the channel in a multiple-input multiple-output (MIMO) system. The algorithm utilizes the inherent Toeplitz structure embedded in many communication systems and the orthogonal projection approximation subspace tracking (OPAST) algorithm to estimate the desired channel. The proposed scheme is robust and capable of estimating channels adaptively at a relatively low computational cost. The simulation results demonstrate the appealing benefits of the proposed method.

Original language	English
Title of host publication	55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	1378-1382
Number of pages	5
ISBN (Electronic)	9781665458283
DOIs	https://doi.org/10.1109/IEEECONF53345.2021.9723214
State	Published - 2021

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2021-October
ISSN (Print)	1058-6393

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Adaptive
MIMO
OPAST
Subspace
Toeplitz

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/IEEECONF53345.2021.9723214

Cite this

Lawal, A., Abed-Meraim, K., Mayyala, Q., Iqbal, N., & Zerguine, A. (2021). Blind Adaptive Channel Estimation using Structure Subspace Tracking. In M. B. Matthews (Ed.), 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 (pp. 1378-1382). (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2021-October). IEEE Computer Society. https://doi.org/10.1109/IEEECONF53345.2021.9723214

@inproceedings{450ad5c91a7c4ceea0823a5045a61068,

title = "Blind Adaptive Channel Estimation using Structure Subspace Tracking",

abstract = "In this work, an adaptive blind structure subspace algorithm is developed. The proposed algorithm tracks the signal subspace and estimates the channel in a multiple-input multiple-output (MIMO) system. The algorithm utilizes the inherent Toeplitz structure embedded in many communication systems and the orthogonal projection approximation subspace tracking (OPAST) algorithm to estimate the desired channel. The proposed scheme is robust and capable of estimating channels adaptively at a relatively low computational cost. The simulation results demonstrate the appealing benefits of the proposed method.",

keywords = "Adaptive, MIMO, OPAST, Subspace, Toeplitz",

author = "Abdulmajid Lawal and Karim Abed-Meraim and Qadri Mayyala and Naveed Iqbal and Azzedine Zerguine",

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language = "English",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

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Lawal, A, Abed-Meraim, K, Mayyala, Q, Iqbal, N & Zerguine, A 2021, Blind Adaptive Channel Estimation using Structure Subspace Tracking. in MB Matthews (ed.), 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2021-October, IEEE Computer Society, pp. 1378-1382. https://doi.org/10.1109/IEEECONF53345.2021.9723214

Blind Adaptive Channel Estimation using Structure Subspace Tracking. / Lawal, Abdulmajid; Abed-Meraim, Karim; Mayyala, Qadri et al.
55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. ed. / Michael B. Matthews. IEEE Computer Society, 2021. p. 1378-1382 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2021-October).

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

TY - GEN

T1 - Blind Adaptive Channel Estimation using Structure Subspace Tracking

AU - Lawal, Abdulmajid

AU - Abed-Meraim, Karim

AU - Mayyala, Qadri

AU - Iqbal, Naveed

AU - Zerguine, Azzedine

PY - 2021

Y1 - 2021

N2 - In this work, an adaptive blind structure subspace algorithm is developed. The proposed algorithm tracks the signal subspace and estimates the channel in a multiple-input multiple-output (MIMO) system. The algorithm utilizes the inherent Toeplitz structure embedded in many communication systems and the orthogonal projection approximation subspace tracking (OPAST) algorithm to estimate the desired channel. The proposed scheme is robust and capable of estimating channels adaptively at a relatively low computational cost. The simulation results demonstrate the appealing benefits of the proposed method.

AB - In this work, an adaptive blind structure subspace algorithm is developed. The proposed algorithm tracks the signal subspace and estimates the channel in a multiple-input multiple-output (MIMO) system. The algorithm utilizes the inherent Toeplitz structure embedded in many communication systems and the orthogonal projection approximation subspace tracking (OPAST) algorithm to estimate the desired channel. The proposed scheme is robust and capable of estimating channels adaptively at a relatively low computational cost. The simulation results demonstrate the appealing benefits of the proposed method.

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KW - MIMO

KW - OPAST

KW - Subspace

KW - Toeplitz

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U2 - 10.1109/IEEECONF53345.2021.9723214

DO - 10.1109/IEEECONF53345.2021.9723214

M3 - Conference contribution

AN - SCOPUS:85127023907

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 1378

EP - 1382

BT - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021

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PB - IEEE Computer Society

ER -

Lawal A, Abed-Meraim K, Mayyala Q, Iqbal N , Zerguine A. Blind Adaptive Channel Estimation using Structure Subspace Tracking. In Matthews MB, editor, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. IEEE Computer Society. 2021. p. 1378-1382. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/IEEECONF53345.2021.9723214

Blind Adaptive Channel Estimation using Structure Subspace Tracking

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this