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Intelligence driven load-pull measurement strategies

Saini, Randeep 2013. Intelligence driven load-pull measurement strategies. PhD Thesis, Cardiff University.
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Abstract

The objective of this thesis is to provide improved load-pull measurement strategies based on an open-loop active load pull measurement system. A review of the evolution of non-linear measurement systems as well as behavioural model generation approaches has been presented. An intelligence driven active load-pull system has been presented in this thesis, based on deriving local PHD models to aid the prediction of the desired active signal in order to achieve a target reflection coefficient. The algorithm proved to be effective in reducing the number of iterations in an open-loop active load-pull system and thus improving the utilisation efficiency. A non-linear measurement approach suitable for wafer mapping and technology screening applications has also been presented as an application of this new algorithm. In this thesis, it has also been shown how the Cardiff Behavioural model is effective in its ability to interpolate or extrapolate non-linear measurement data and thereby improve the quality of measurement data and speed of measurement systems. This investigation was carried out in two stages; fundamental interpolation testing and harmonic interpolation and extrapolation testing.

Item Type: Thesis (PhD)
Status: Unpublished
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Load-pull; x-parameters; non-linear models; behavioural models; open-loop; measurement systems.
Date of First Compliant Deposit: 30 March 2016
Last Modified: 19 Mar 2016 23:26
URI: http://orca.cf.ac.uk/id/eprint/51789

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