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Reconstruction Algorithm In Ofdm System

Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique that had been adapted widely by high data rate wireless communication systems. This is due to its ability to reduce multipath channel fading, increase bandwidth efficiency, and elimination of inter symbol int...

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Main Author: Hwong, Sing Pui
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2017
Subjects:
T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
Online Access:http://eprints.usm.my/53076/1/Reconstruction%20Algorithm%20In%20Ofdm%20System_Hwong%20Sing%20Pui_E3_2017.pdf
http://eprints.usm.my/53076/
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spelling my.usm.eprints.53076 http://eprints.usm.my/53076/ Reconstruction Algorithm In Ofdm System Hwong, Sing Pui T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique that had been adapted widely by high data rate wireless communication systems. This is due to its ability to reduce multipath channel fading, increase bandwidth efficiency, and elimination of inter symbol interference (ISI) which are favorable conditions in wireless signal transmission. OFDM divides the frequency selective fading channels into many narrow band flat fading sub channels to ease the equalization. The idea of orthogonality of this modulation allows all the sub carriers to be independent of each other and provides no interference among the sub carriers, and hence, this explained why the transmitted information can still be separated from the sub carriers. Channel estimation (CE) in OFDM system is compulsory to obtain the channel state information (CSI) at the receiver. Conventional channel estimation (CE) methods had been introduced to estimate CSI, but they are not able to exploit the wireless channel sparsity which causes reduction in bandwidth efficiency. The implementation of compressive sensing methods in OFDM was initiated that able to exploit the sparsity property of the signal and therefore, outperforms the conventional CE. Consequently, various widely used compressive sensing reconstruction algorithm such as: Orthogonal Matching Pursuit (OMP), Compressed Sensing Matching Pursuit (CoSaMP), and Subspace Pursuit (SP) will be evaluated to test their efficacy sparse estimation performances in OFDM system. Universiti Sains Malaysia 2017-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/53076/1/Reconstruction%20Algorithm%20In%20Ofdm%20System_Hwong%20Sing%20Pui_E3_2017.pdf Hwong, Sing Pui (2017) Reconstruction Algorithm In Ofdm System. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik & Elektronik. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
spellingShingle T Technology
TK Electrical Engineering. Electronics. Nuclear Engineering
Hwong, Sing Pui
Reconstruction Algorithm In Ofdm System
description Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique that had been adapted widely by high data rate wireless communication systems. This is due to its ability to reduce multipath channel fading, increase bandwidth efficiency, and elimination of inter symbol interference (ISI) which are favorable conditions in wireless signal transmission. OFDM divides the frequency selective fading channels into many narrow band flat fading sub channels to ease the equalization. The idea of orthogonality of this modulation allows all the sub carriers to be independent of each other and provides no interference among the sub carriers, and hence, this explained why the transmitted information can still be separated from the sub carriers. Channel estimation (CE) in OFDM system is compulsory to obtain the channel state information (CSI) at the receiver. Conventional channel estimation (CE) methods had been introduced to estimate CSI, but they are not able to exploit the wireless channel sparsity which causes reduction in bandwidth efficiency. The implementation of compressive sensing methods in OFDM was initiated that able to exploit the sparsity property of the signal and therefore, outperforms the conventional CE. Consequently, various widely used compressive sensing reconstruction algorithm such as: Orthogonal Matching Pursuit (OMP), Compressed Sensing Matching Pursuit (CoSaMP), and Subspace Pursuit (SP) will be evaluated to test their efficacy sparse estimation performances in OFDM system.
format Monograph
author Hwong, Sing Pui
author_facet Hwong, Sing Pui
author_sort Hwong, Sing Pui
title Reconstruction Algorithm In Ofdm System
title_short Reconstruction Algorithm In Ofdm System
title_full Reconstruction Algorithm In Ofdm System
title_fullStr Reconstruction Algorithm In Ofdm System
title_full_unstemmed Reconstruction Algorithm In Ofdm System
title_sort reconstruction algorithm in ofdm system
publisher Universiti Sains Malaysia
publishDate 2017
url http://eprints.usm.my/53076/1/Reconstruction%20Algorithm%20In%20Ofdm%20System_Hwong%20Sing%20Pui_E3_2017.pdf
http://eprints.usm.my/53076/
_version_ 1736834799854682112
score 13.211869

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