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Adaptive control of feed-forward linearization for laser nonlinearity compensation system

Radio over Fiber technology (RoF) is a promising solution to the next generation wireless access network because of its ability to transmit high capacity data and to be cost effective. However, RoF systems are analog systems which are sensitive to noise and distortions. The RoF links need to have go...

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Main Author: Neo, Yun Sheng
Format: Thesis
Language:English
Published: 2012
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/30634/1/NeoYunShengMFKE2012.pdf
http://eprints.utm.my/id/eprint/30634/
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spelling my.utm.306342018-04-27T01:11:45Z http://eprints.utm.my/id/eprint/30634/ Adaptive control of feed-forward linearization for laser nonlinearity compensation system Neo, Yun Sheng TK Electrical engineering. Electronics Nuclear engineering Radio over Fiber technology (RoF) is a promising solution to the next generation wireless access network because of its ability to transmit high capacity data and to be cost effective. However, RoF systems are analog systems which are sensitive to noise and distortions. The RoF links need to have good linearity in order to avoid nonlinear distortions. The primary limitation on the performance of the optical transceiver in RoF links is the nonlinearity of the laser source in the transmitter. The laser source nonlinearities generate intermodulation distortion products which can severely degrade the performance of the RoF links. Hence, various linearization schemes are proposed to compensate the nonlinearity of the laser source, such as feedback, predistortion, and feed-forward. Among the linearization technique, feed-forward linearization is considered as the most effective due to its ability to provide broadband distortion reduction at high frequencies, and reduction in all order of distortions regardless of the laser nonlinear characteristics. However, feed-forward linearization is a relatively sensitive scheme, where its performance is highly influenced by changing operating conditions. Hence, the feedforward linearization system needs to be incorporated with adaptive properties in order to achieve optimization in linearization for more practical implementations. In this thesis, a laser transmitter feed-forward linearization system has been modeled in the commercial software OptiSystem 9.0. The laser transmitter feed-forward linearization system is integrated with the proposed adaptive control system developed in MATLAB through Visual Basic scripting. The results of the cosimulations have achieved significant reductions of over 20 dBm in the third-order intermodulation distortion products for operating frequencies from 5.1 to 5.8 GHz. 2012-04 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/30634/1/NeoYunShengMFKE2012.pdf Neo, Yun Sheng (2012) Adaptive control of feed-forward linearization for laser nonlinearity compensation system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Neo, Yun Sheng
Adaptive control of feed-forward linearization for laser nonlinearity compensation system
description Radio over Fiber technology (RoF) is a promising solution to the next generation wireless access network because of its ability to transmit high capacity data and to be cost effective. However, RoF systems are analog systems which are sensitive to noise and distortions. The RoF links need to have good linearity in order to avoid nonlinear distortions. The primary limitation on the performance of the optical transceiver in RoF links is the nonlinearity of the laser source in the transmitter. The laser source nonlinearities generate intermodulation distortion products which can severely degrade the performance of the RoF links. Hence, various linearization schemes are proposed to compensate the nonlinearity of the laser source, such as feedback, predistortion, and feed-forward. Among the linearization technique, feed-forward linearization is considered as the most effective due to its ability to provide broadband distortion reduction at high frequencies, and reduction in all order of distortions regardless of the laser nonlinear characteristics. However, feed-forward linearization is a relatively sensitive scheme, where its performance is highly influenced by changing operating conditions. Hence, the feedforward linearization system needs to be incorporated with adaptive properties in order to achieve optimization in linearization for more practical implementations. In this thesis, a laser transmitter feed-forward linearization system has been modeled in the commercial software OptiSystem 9.0. The laser transmitter feed-forward linearization system is integrated with the proposed adaptive control system developed in MATLAB through Visual Basic scripting. The results of the cosimulations have achieved significant reductions of over 20 dBm in the third-order intermodulation distortion products for operating frequencies from 5.1 to 5.8 GHz.
format Thesis
author Neo, Yun Sheng
author_facet Neo, Yun Sheng
author_sort Neo, Yun Sheng
title Adaptive control of feed-forward linearization for laser nonlinearity compensation system
title_short Adaptive control of feed-forward linearization for laser nonlinearity compensation system
title_full Adaptive control of feed-forward linearization for laser nonlinearity compensation system
title_fullStr Adaptive control of feed-forward linearization for laser nonlinearity compensation system
title_full_unstemmed Adaptive control of feed-forward linearization for laser nonlinearity compensation system
title_sort adaptive control of feed-forward linearization for laser nonlinearity compensation system
publishDate 2012
url http://eprints.utm.my/id/eprint/30634/1/NeoYunShengMFKE2012.pdf
http://eprints.utm.my/id/eprint/30634/
_version_ 1643648593280630784
score 13.211869

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