Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582258
Title: Predistortion as a cost-effective means to tackling nonlinearity in radio over fibre links
Author: Awoye, Adeyinka A.
Awarding Body: University of Warwick
Current Institution: University of Warwick
Date of Award: 2012
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Abstract:
Radio over fibre technology in combination with the enormous bandwidth capabilities offered by an optical fibre was studied due to the advantage of a centralized signal-processing architecture. Fibre-based wireless access schemes employing sub-carrier multiplexing radio over fibre links provide the unique capacity to support a number of services such as cellular network, common antennae television and wireless local area network applications simultaneously. The theory and design of a radio over fibre link was studied, with the objective of providing an economically viable high performance link to be used in a digital cellular system. The nonlinearity in the link system, especially in the optical source, revealed a limitation in the dynamic range performance when transmitting analog and multilevel digital signals over the fibre-optic link channels. A digital baseband linearization technique using a radial basis function neural network that learns from the input-output data samples of the link was presented for compensating the nonlinearity impairments. The bit error rate performance analysis of the link was performed using Monte-Carlo and importance sampling techniques to reveal the overall system improvements with the addition of the neural network. The importance sampling technique realized the required bit error rate performance for a typical digital optical receiver in the radio over fibre link when transmitting digital signals. A neural-fuzzy based predistortion controlled technique showed the ability to compensate for varying input signal amplitudes into the radio over fibre link, allowing for an overall robust and adaptable link system.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.582258  DOI: Not available
Keywords: TK Electrical engineering. Electronics Nuclear engineering
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