Bayesian narrowband interference mitigation in SC-FDMA

Anum Ali; Mudassir Masood; Samir Al-Ghadhban; Tareq Y. Al-Naffouri

doi:10.1109/ICASSP.2015.7178517

Bayesian narrowband interference mitigation in SC-FDMA

Anum Ali
, Mudassir Masood
, Samir Al-Ghadhban
, Tareq Y. Al-Naffouri

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

2 Scopus citations

Abstract

This paper presents a novel narrowband interference (NBI) mitigation scheme for SC-FDMA systems. The proposed scheme exploits the frequency domain sparsity of the unknown NBI signal and adopts a low complexity Bayesian sparse recovery procedure. In practice, however, the sparsity of the NBI is destroyed by a grid mismatch between NBI sources and SC-FDMA system. Towards this end, an accurate grid mismatch model is presented and a sparsifying transform is utilized to restore the sparsity of the unknown signal. Numerical results are presented that depict the suitability of the proposed scheme for NBI mitigation.

Original language	English
Title of host publication	2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2979-2983
Number of pages	5
ISBN (Electronic)	9781467369978
DOIs	https://doi.org/10.1109/ICASSP.2015.7178517
State	Published - 4 Aug 2015

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2015-August
ISSN (Print)	1520-6149

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Bayesian sparse recovery
LTE
NBI mitigation
SC-FDMA
compressed sensing

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2015.7178517

Cite this

Ali, A., Masood, M., Al-Ghadhban, S., & Al-Naffouri, T. Y. (2015). Bayesian narrowband interference mitigation in SC-FDMA. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings (pp. 2979-2983). Article 7178517 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7178517

Ali, Anum ; Masood, Mudassir ; Al-Ghadhban, Samir et al. / Bayesian narrowband interference mitigation in SC-FDMA. 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2979-2983 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

@inproceedings{91803dc4404a43dd8eabc50883fadd77,

title = "Bayesian narrowband interference mitigation in SC-FDMA",

abstract = "This paper presents a novel narrowband interference (NBI) mitigation scheme for SC-FDMA systems. The proposed scheme exploits the frequency domain sparsity of the unknown NBI signal and adopts a low complexity Bayesian sparse recovery procedure. In practice, however, the sparsity of the NBI is destroyed by a grid mismatch between NBI sources and SC-FDMA system. Towards this end, an accurate grid mismatch model is presented and a sparsifying transform is utilized to restore the sparsity of the unknown signal. Numerical results are presented that depict the suitability of the proposed scheme for NBI mitigation.",

keywords = "Bayesian sparse recovery, LTE, NBI mitigation, SC-FDMA, compressed sensing",

author = "Anum Ali and Mudassir Masood and Samir Al-Ghadhban and Al-Naffouri, \{Tareq Y.\}",

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doi = "10.1109/ICASSP.2015.7178517",

language = "English",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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Ali, A, Masood, M , Al-Ghadhban, S & Al-Naffouri, TY 2015, Bayesian narrowband interference mitigation in SC-FDMA. in 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings., 7178517, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., pp. 2979-2983. https://doi.org/10.1109/ICASSP.2015.7178517

Bayesian narrowband interference mitigation in SC-FDMA. / Ali, Anum; Masood, Mudassir ; Al-Ghadhban, Samir et al.
2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2979-2983 7178517 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August).

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

TY - GEN

T1 - Bayesian narrowband interference mitigation in SC-FDMA

AU - Ali, Anum

AU - Masood, Mudassir

AU - Al-Ghadhban, Samir

AU - Al-Naffouri, Tareq Y.

PY - 2015/8/4

Y1 - 2015/8/4

N2 - This paper presents a novel narrowband interference (NBI) mitigation scheme for SC-FDMA systems. The proposed scheme exploits the frequency domain sparsity of the unknown NBI signal and adopts a low complexity Bayesian sparse recovery procedure. In practice, however, the sparsity of the NBI is destroyed by a grid mismatch between NBI sources and SC-FDMA system. Towards this end, an accurate grid mismatch model is presented and a sparsifying transform is utilized to restore the sparsity of the unknown signal. Numerical results are presented that depict the suitability of the proposed scheme for NBI mitigation.

AB - This paper presents a novel narrowband interference (NBI) mitigation scheme for SC-FDMA systems. The proposed scheme exploits the frequency domain sparsity of the unknown NBI signal and adopts a low complexity Bayesian sparse recovery procedure. In practice, however, the sparsity of the NBI is destroyed by a grid mismatch between NBI sources and SC-FDMA system. Towards this end, an accurate grid mismatch model is presented and a sparsifying transform is utilized to restore the sparsity of the unknown signal. Numerical results are presented that depict the suitability of the proposed scheme for NBI mitigation.

KW - Bayesian sparse recovery

KW - LTE

KW - NBI mitigation

KW - SC-FDMA

KW - compressed sensing

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DO - 10.1109/ICASSP.2015.7178517

M3 - Conference contribution

AN - SCOPUS:84946098907

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 2979

EP - 2983

BT - 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Ali A, Masood M , Al-Ghadhban S, Al-Naffouri TY. Bayesian narrowband interference mitigation in SC-FDMA. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2979-2983. 7178517. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2015.7178517

Bayesian narrowband interference mitigation in SC-FDMA

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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