Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures

Ali Hakam; Noha Abou Aly; Mohammed Khalid; Shihab Jimaa; Saleh Al-Araji

doi:10.1109/ICECS.2013.6815504

Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures

Ali Hakam, Noha Abou Aly, Mohammed Khalid, Shihab Jimaa, Saleh Al-Araji

Electrical Engineering

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

2 Scopus citations

Abstract

This paper addresses the performance of Multiple-Input-Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM), MIMO-OFDM communication system in environments where the interfering noise exhibits non-Gaussian behavior due to impulsive phenomena. It presents the design and simulation of an adaptive receiver technique that aims to minimize the effect of impulsive noise on the performance of the MIMO-OFDM communication system under Additive White Gaussian Noise (AWGN) channel. The proposed adaptive technique uses three different types of algorithms, an Adaptive Recursive least Square (RLS), Adaptive Normalized Least Mean Square (NLMS), and Variable Step-size Adaptive Normalized Least Mean Square (VSNLMS). The real concern in generating the impulsive noise is to have the main characteristics that emulate the actual impulsive noise. Hence the impulsive noise is generated and modeled based on reference [4] using Matlab/Simulink. The bit-error-rate (BER) performance of the MIMO-OFDM system in an impulsive noise environment was evaluated. The proposed adaptive receivers' technique offers a novel approach in reducing the effect of the impulsive noise in MIMO-OFDM system.

Original language	British English
Title of host publication	2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	674-677
Number of pages	4
ISBN (Print)	9781479924523
DOIs	https://doi.org/10.1109/ICECS.2013.6815504
State	Published - 2013
Event	2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 - Abu Dhabi, United Arab Emirates Duration: 8 Dec 2013 → 11 Dec 2013

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

Conference

Conference	2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	8/12/13 → 11/12/13

Keywords

Adaptive Filter
Impulsive Noise
MIMO-OFDM
NLMS
RLS
VSNLMS

Access to Document

10.1109/ICECS.2013.6815504

Cite this

Hakam, A., Aly, N. A., Khalid, M., Jimaa, S., & Al-Araji, S. (2013). Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures. In 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 (pp. 674-677). Article 6815504 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECS.2013.6815504

Hakam, Ali ; Aly, Noha Abou ; Khalid, Mohammed et al. / Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures. 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 674-677 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems).

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title = "Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures",

abstract = "This paper addresses the performance of Multiple-Input-Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM), MIMO-OFDM communication system in environments where the interfering noise exhibits non-Gaussian behavior due to impulsive phenomena. It presents the design and simulation of an adaptive receiver technique that aims to minimize the effect of impulsive noise on the performance of the MIMO-OFDM communication system under Additive White Gaussian Noise (AWGN) channel. The proposed adaptive technique uses three different types of algorithms, an Adaptive Recursive least Square (RLS), Adaptive Normalized Least Mean Square (NLMS), and Variable Step-size Adaptive Normalized Least Mean Square (VSNLMS). The real concern in generating the impulsive noise is to have the main characteristics that emulate the actual impulsive noise. Hence the impulsive noise is generated and modeled based on reference [4] using Matlab/Simulink. The bit-error-rate (BER) performance of the MIMO-OFDM system in an impulsive noise environment was evaluated. The proposed adaptive receivers' technique offers a novel approach in reducing the effect of the impulsive noise in MIMO-OFDM system.",

keywords = "Adaptive Filter, Impulsive Noise, MIMO-OFDM, NLMS, RLS, VSNLMS",

author = "Ali Hakam and Aly, {Noha Abou} and Mohammed Khalid and Shihab Jimaa and Saleh Al-Araji",

year = "2013",

doi = "10.1109/ICECS.2013.6815504",

language = "British English",

isbn = "9781479924523",

series = "Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems",

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

pages = "674--677",

booktitle = "2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013",

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note = "2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 ; Conference date: 08-12-2013 Through 11-12-2013",

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Hakam, A, Aly, NA, Khalid, M, Jimaa, S & Al-Araji, S 2013, Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures. in 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013., 6815504, Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, Institute of Electrical and Electronics Engineers Inc., pp. 674-677, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013, Abu Dhabi, United Arab Emirates, 8/12/13. https://doi.org/10.1109/ICECS.2013.6815504

Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures. / Hakam, Ali; Aly, Noha Abou; Khalid, Mohammed et al.
2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 674-677 6815504 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems).

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

TY - GEN

T1 - Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures

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AU - Aly, Noha Abou

AU - Khalid, Mohammed

AU - Jimaa, Shihab

AU - Al-Araji, Saleh

PY - 2013

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N2 - This paper addresses the performance of Multiple-Input-Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM), MIMO-OFDM communication system in environments where the interfering noise exhibits non-Gaussian behavior due to impulsive phenomena. It presents the design and simulation of an adaptive receiver technique that aims to minimize the effect of impulsive noise on the performance of the MIMO-OFDM communication system under Additive White Gaussian Noise (AWGN) channel. The proposed adaptive technique uses three different types of algorithms, an Adaptive Recursive least Square (RLS), Adaptive Normalized Least Mean Square (NLMS), and Variable Step-size Adaptive Normalized Least Mean Square (VSNLMS). The real concern in generating the impulsive noise is to have the main characteristics that emulate the actual impulsive noise. Hence the impulsive noise is generated and modeled based on reference [4] using Matlab/Simulink. The bit-error-rate (BER) performance of the MIMO-OFDM system in an impulsive noise environment was evaluated. The proposed adaptive receivers' technique offers a novel approach in reducing the effect of the impulsive noise in MIMO-OFDM system.

AB - This paper addresses the performance of Multiple-Input-Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM), MIMO-OFDM communication system in environments where the interfering noise exhibits non-Gaussian behavior due to impulsive phenomena. It presents the design and simulation of an adaptive receiver technique that aims to minimize the effect of impulsive noise on the performance of the MIMO-OFDM communication system under Additive White Gaussian Noise (AWGN) channel. The proposed adaptive technique uses three different types of algorithms, an Adaptive Recursive least Square (RLS), Adaptive Normalized Least Mean Square (NLMS), and Variable Step-size Adaptive Normalized Least Mean Square (VSNLMS). The real concern in generating the impulsive noise is to have the main characteristics that emulate the actual impulsive noise. Hence the impulsive noise is generated and modeled based on reference [4] using Matlab/Simulink. The bit-error-rate (BER) performance of the MIMO-OFDM system in an impulsive noise environment was evaluated. The proposed adaptive receivers' technique offers a novel approach in reducing the effect of the impulsive noise in MIMO-OFDM system.

KW - Adaptive Filter

KW - Impulsive Noise

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M3 - Conference contribution

AN - SCOPUS:84901459965

SN - 9781479924523

T3 - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

SP - 674

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BT - 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013

Y2 - 8 December 2013 through 11 December 2013

ER -

Hakam A, Aly NA, Khalid M, Jimaa S, Al-Araji S. Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures. In 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013. Institute of Electrical and Electronics Engineers Inc. 2013. p. 674-677. 6815504. (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems). doi: 10.1109/ICECS.2013.6815504

Impulsive noise reduction in MIMO-OFDM systems using adaptive receiver structures

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Keywords

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