Behavioural Modelling for Adaptive Array Systems Incorporating High-Power Amplifier Nonlinearities
Author(s) -
Theodora Goss,
Peter H. Aaen
Publication year - 2018
Publication title -
2022 16th european conference on antennas and propagation (eucap)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1049/cp.2018.0642
Subject(s) - amplifier , computer science , power (physics) , electronic engineering , engineering , telecommunications , physics , bandwidth (computing) , quantum mechanics
We develop a novel method for the behavioural modelling of adaptive array systems (AASs) incorporating high- power amplifier (HPA) nonlinearities. The model is motivated by the need to better define the spatial and spectral interference profile of AASs. We provide a simulated proof of concept as a precursor to experimental validation. In our demonstration, the model is identified using simulated near-field measurements made while the antenna’s input channels are simultaneously undergoing a representative excitation. These measurements are used to identify a large number of memory polynomials (MPs) which characterise the transfer function from the antenna inputs to the near-field. We then use the array of MPs and a near-field to far- field transformation to obtain the far-field pattern of the antenna for arbitrary input. We show the impact of antenna element HPA nonlinearities on the far-field pattern, and our ability to predict them via the developed model.
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