The increasing demand in the communication and navigation satellite industry for i) greater
throughput, ii) flexibility in terms of signal generation, iii) higher efficiency, iv) improved payload reconfigurability, has generated the need to develop more accurate simulation/emulation payload
models. Inaccurate modelling of payload elements induces a non-negligible risk of over- or underdesigned elements as well as an incorrect prediction of the main KPIs derived from
emulation/simulation tools. Therefore, assessing the accuracy of currently used models and
possibly developing new, more accurate ones turns out to be an essential feature of new-generation
system design tools to derive accurate performance metrics, to enable correct dimensioning of all
system features, to better specify budget parameters (in particular equipment specifications), and
to efficiently support engineers in payload design.
In this respect, High-Power Amplifiers (HPAs) are very sensitive components within the overall
payload architecture, because they are non-linear devices that behave differently depending on the
input signal features such as occupied bandwidth, average power, Peak-to-Average Power Ratio
(PAPR), etc..
Extensive measurement and characterization activities on such devices performed in Thales-Alenia
Spacelaboratories on GNSS payloads suggested that the standard narrowband/memoryless model
of an HPA (i.e., AM/AM and AM/PM characteristics) is not sufficiently representative to derive
accurate results concerning (next generation) GNSS signals featuring bandwidth up to 100 MHz or
more, especially in terms of the in-band and out-of-band distortions actually introduced by this
element. Such inaccuracy, initially considered insignificant, turned out to be not negligible when the
payload simulation model is used to define and optimize the specifications as well the on-board
Navigation Signal Generation Unit (NSGU) design.
These conclusions led us to carry out an extensive review of the state of art of wideband HPA
models, in particular Wiener, Hammerstein and Volterra one, comparing their accuracy, efficiency
and easiness of application to real-world devices.
This analysis focuses on the Volterra model, which is usually considered too complicated and hard
to be actually tailored to a specific device. In this study, both the issues were tackled: first, how to
match the numerous parameters of the nonlinear model to the wideband Device Under Test (DUT)
has been considered. Then, a way to reduce the number of significant parameters to be derived
from the measurements activity has been defined, in order to guarantee a computationally
manageable effort without sacrificing modelling accuracy.
Starting from the lab characterization of a specific DUT operating in the L band, this paper reports
a thorough comparison between the performance of a simplified matched Volterra model and the
corresponding (memoryless) narrowband equivalent (with measured AM/AM and AM/PM curves).
The following metrics were considered to perform the comparison:
* Normalized Mean Square Error (NMSE), both in time and frequency domain, between the
simulated HPA output and the result of the measurements after digitization of the
corresponding signal at DUT output.
* Power Spectral Density (PSD) deviation, in particular the spectral regrowth, between the
simulated signal and the DUT output.
The results obtained exhibit a remarkable agreement between the wideband model and the results
measured on the DUT, as well as a remarkable improvement of the performance metrics of the
matched Volterra wideband model as compared to those of the standard narrowband algorithm,
with a manageable additional complexity