6 research outputs found
Iterative channel estimation for non-binary LDPC-coded OFDM signals
This work deals with the issue of channel estimation in the context of non-binary LDPC-coded
OFDM systems over doubly selective multipath channels. In particular, we show how to derive an
iterative Wiener-filter-based estimation method using both time and frequency channel correlation and
considering the particular characteristics of the channel code. The proposed algorithm can use either
soft information or hard decisions fed back by the decoder to refine the channel estimation, so as to
improve the system performance at the expense of an increased receiver complexity. Simulation results
under typical working conditions are presented to compare the performance of the proposed method
with respect to classical techniques.</jats:p
The impact of conditioned attenuation statistics on the performance of VCM techniques for Earth Observation satellites in LEO orbit
n the frame of the "Advanced Techniques for High Data Rate Links for Earth Exploration Satellites" study, ESA Contract n. 22455/09/NL/JK, a set of SW [1] was developed to allow the system designer computing the end-to-end performance of the data downlink architecture of Earth Observation satellite in LEO orbit when using Variable Coding Modulation (VCM) techniques and comparing it against the achievable figure when Constant Coding Modulation (CCM) is used. In particular, the SW implements modulation and coding described in the CCSDS standard [2], pre-distortion techniques, and on-ground algorithms for mitigation of channel contribution to dual-polarization transmission. Moreover, the SW allows the user selecting the main mission parameters (e.g. orbit, ground station, link availability, non-linear amplifier, on-board RF filters, EIRP etc.) according to its customized scenario. VCM demonstrates the improvement of downlink data rate of Earth Observation satellite in LEO orbit system performance, by adapting case-by-case the coding/modulation scheme, especially for systems characterized by a ground station network based on different climate areas (e.g. Mediterranean, Near Polar, Desert Ground station) [3]. For a K-Band system, considering the typical availability requirement for Earth Observation satellite data downlink (i.e. 99.5%) a special care shall be paid to the atmospheric propagation; it is well known that rain attenuation is the most important impairments for probability lower than about 1%. The total attenuation exceeded for 0.1% of the average year in Ka band can be several dBs larger than attenuation exceeded for the same time percentage during non-rainy periods (about 95% of the total year for European climate). The high difference between atmospheric propagation in rain and non-rainy condition is worth to be further analysed: the disadvantage of dimensioning the link on the average year is to have a reduced throughput even during the clear-sky (i.e. non rainy) periods characterized by low values of atmospheric attenuation
WIDEBAND MATCHED VOLTERRA MODELING OF HIGH-POWER AMPLIFIERS FOR SATELLITE NAVIGATION AND COMMUNICATION PAYLOADS
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