Time Domain Impulsive Noise Mitigation in UWA Systems using Compressive Sensing Approach

Zee Ang Sim; Esther Xin Fui Wong; Filbert H. Juwono; Lenin Gopal; Catur Apriono

doi:10.1109/COSITE52651.2021.9649554

Time Domain Impulsive Noise Mitigation in UWA Systems using Compressive Sensing Approach

Zee Ang Sim, Esther Xin Fui Wong, Filbert H. Juwono, Lenin Gopal, Catur Apriono

School of Engineering & Physical Sciences

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

Abstract

Orthogonal frequency-division multiplexing (OFDM) is a popular choice for implementation in underwater acoustic (UWA) communication due to its resiliency in fading channels. However, the presence of impulsive noise is a major issue in UWA channels as it severely deteriorates the transmitted data. Impulsive noise has high power and spreads out to the entire frequency domain when the OFDM modulation is performed, hence affecting the transmitted data symbols. Compressive sensing (CS) technique is able to estimate and reconstruct the impulsive noise by exploiting the sparse nature of the impulsive noise in UWA channels. In this paper, we propose to use the smoothed ℓ0-norm (SL0) minimization algorithm to estimate the symmetric α-stable (SαS) impulsive noise in UWA channels. The objective function is formulated to minimize the sparsest solution of the impulsive noise. Simulation results show that the SL0 CS approach is able to reduce the BER. It is also shown that the proposed CS approach has a comparable performance to the conventional ℓ1-norm algorithm where the SL0 has faster processing time.

Original language	English
Title of host publication	2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)
Publisher	IEEE
Pages	161-165
Number of pages	5
ISBN (Electronic)	9781665425094
DOIs	https://doi.org/10.1109/COSITE52651.2021.9649554
Publication status	Published - 24 Dec 2021
Event	2021 International Conference on Computer System, Information Technology, and Electrical Engineering - Virtual, Online, Indonesia Duration: 20 Oct 2021 → 21 Oct 2021

Conference

Conference	2021 International Conference on Computer System, Information Technology, and Electrical Engineering
Abbreviated title	COSITE 2021
Country/Territory	Indonesia
City	Virtual, Online
Period	20/10/21 → 21/10/21

Keywords

OFDM
smoothed ℓ
symmetric α-stable
UWA
ℓ1-norm

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Information Systems
Signal Processing
Electrical and Electronic Engineering
Control and Optimization
Atomic and Molecular Physics, and Optics
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/COSITE52651.2021.9649554

Cite this

@inproceedings{f2c496c6e3484ebdb5672f7bbf225a7f,

title = "Time Domain Impulsive Noise Mitigation in UWA Systems using Compressive Sensing Approach",

abstract = "Orthogonal frequency-division multiplexing (OFDM) is a popular choice for implementation in underwater acoustic (UWA) communication due to its resiliency in fading channels. However, the presence of impulsive noise is a major issue in UWA channels as it severely deteriorates the transmitted data. Impulsive noise has high power and spreads out to the entire frequency domain when the OFDM modulation is performed, hence affecting the transmitted data symbols. Compressive sensing (CS) technique is able to estimate and reconstruct the impulsive noise by exploiting the sparse nature of the impulsive noise in UWA channels. In this paper, we propose to use the smoothed ℓ0-norm (SL0) minimization algorithm to estimate the symmetric α-stable (SαS) impulsive noise in UWA channels. The objective function is formulated to minimize the sparsest solution of the impulsive noise. Simulation results show that the SL0 CS approach is able to reduce the BER. It is also shown that the proposed CS approach has a comparable performance to the conventional ℓ1-norm algorithm where the SL0 has faster processing time. ",

keywords = "OFDM, smoothed ℓ, symmetric α-stable, UWA, ℓ1-norm",

author = "Sim, {Zee Ang} and Wong, {Esther Xin Fui} and Juwono, {Filbert H.} and Lenin Gopal and Catur Apriono",

note = "Funding Information: This research was supported by Ministry of Research and Technology/National Agency for Research and Innovation, Republic of Indonesia through Penelitian Dasar Grant, No NKB-028/UN2.RST/HKP.05.00/2021. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Computer System, Information Technology, and Electrical Engineering, COSITE 2021 ; Conference date: 20-10-2021 Through 21-10-2021",

year = "2021",

month = dec,

day = "24",

doi = "10.1109/COSITE52651.2021.9649554",

language = "English",

pages = "161--165",

booktitle = "2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)",

publisher = "IEEE",

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}

Sim, ZA, Wong, EXF, Juwono, FH, Gopal, L & Apriono, C 2021, Time Domain Impulsive Noise Mitigation in UWA Systems using Compressive Sensing Approach. in 2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE). IEEE, pp. 161-165, 2021 International Conference on Computer System, Information Technology, and Electrical Engineering, Virtual, Online, Indonesia, 20/10/21. https://doi.org/10.1109/COSITE52651.2021.9649554

Time Domain Impulsive Noise Mitigation in UWA Systems using Compressive Sensing Approach. / Sim, Zee Ang; Wong, Esther Xin Fui; Juwono, Filbert H. et al.
2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE). IEEE, 2021. p. 161-165.

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

TY - GEN

T1 - Time Domain Impulsive Noise Mitigation in UWA Systems using Compressive Sensing Approach

AU - Sim, Zee Ang

AU - Wong, Esther Xin Fui

AU - Juwono, Filbert H.

AU - Gopal, Lenin

AU - Apriono, Catur

N1 - Funding Information: This research was supported by Ministry of Research and Technology/National Agency for Research and Innovation, Republic of Indonesia through Penelitian Dasar Grant, No NKB-028/UN2.RST/HKP.05.00/2021. Publisher Copyright: © 2021 IEEE.

PY - 2021/12/24

Y1 - 2021/12/24

N2 - Orthogonal frequency-division multiplexing (OFDM) is a popular choice for implementation in underwater acoustic (UWA) communication due to its resiliency in fading channels. However, the presence of impulsive noise is a major issue in UWA channels as it severely deteriorates the transmitted data. Impulsive noise has high power and spreads out to the entire frequency domain when the OFDM modulation is performed, hence affecting the transmitted data symbols. Compressive sensing (CS) technique is able to estimate and reconstruct the impulsive noise by exploiting the sparse nature of the impulsive noise in UWA channels. In this paper, we propose to use the smoothed ℓ0-norm (SL0) minimization algorithm to estimate the symmetric α-stable (SαS) impulsive noise in UWA channels. The objective function is formulated to minimize the sparsest solution of the impulsive noise. Simulation results show that the SL0 CS approach is able to reduce the BER. It is also shown that the proposed CS approach has a comparable performance to the conventional ℓ1-norm algorithm where the SL0 has faster processing time.

AB - Orthogonal frequency-division multiplexing (OFDM) is a popular choice for implementation in underwater acoustic (UWA) communication due to its resiliency in fading channels. However, the presence of impulsive noise is a major issue in UWA channels as it severely deteriorates the transmitted data. Impulsive noise has high power and spreads out to the entire frequency domain when the OFDM modulation is performed, hence affecting the transmitted data symbols. Compressive sensing (CS) technique is able to estimate and reconstruct the impulsive noise by exploiting the sparse nature of the impulsive noise in UWA channels. In this paper, we propose to use the smoothed ℓ0-norm (SL0) minimization algorithm to estimate the symmetric α-stable (SαS) impulsive noise in UWA channels. The objective function is formulated to minimize the sparsest solution of the impulsive noise. Simulation results show that the SL0 CS approach is able to reduce the BER. It is also shown that the proposed CS approach has a comparable performance to the conventional ℓ1-norm algorithm where the SL0 has faster processing time.

KW - OFDM

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KW - symmetric α-stable

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KW - ℓ1-norm

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U2 - 10.1109/COSITE52651.2021.9649554

DO - 10.1109/COSITE52651.2021.9649554

M3 - Conference contribution

AN - SCOPUS:85124364974

SP - 161

EP - 165

BT - 2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)

PB - IEEE

T2 - 2021 International Conference on Computer System, Information Technology, and Electrical Engineering

Y2 - 20 October 2021 through 21 October 2021

ER -

Time Domain Impulsive Noise Mitigation in UWA Systems using Compressive Sensing Approach

Abstract

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Keywords

ASJC Scopus subject areas

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