End-to-end Signal Processing Algorithms for Precoded Satellite Communications

SCHEME: Industrial Fellowships

CALL: 2016

DOMAIN: IS - Information and Communication Technologies

FIRST NAME: Jevgenij

LAST NAME: Krivochiza

INDUSTRY PARTNERSHIP / PPP: Yes

INDUSTRY / PPP PARTNER: SES S.A

HOST INSTITUTION: University of Luxembourg

KEYWORDS: Signal processing, precoding, satellite communications, interference mitigiation, software defined radio

START: 2017-03-01

END: 2021-02-28

WEBSITE: https://www.uni.lu

Submitted Abstract

The aim of this project is to develop, implement and do research on a realistic Multi-user multiple-input multiple-output (MU-MIMO) transmitter for the satellite communications (satcom), which would exploit the potential of the novel precoding techniques. For this purpose, realistic implementation, employing software defined radios (SDR) is taken into consideration. The realisation of the novel precoding technique for satcom on SDR platform would allow to embody and to address design issues of the novel MIMO precoding algorithms by subjecting them towards wireless channel and payload imperfections such as non-linear frequency and phase misalignments, quantisation noise of analog-to-digital (ADC) and digital-to-analog (DAC) converters, and non-linear satellite channel distortions. The appropriate signal precompensation and equalisations digital processing algorithms are considered to be investigated and implemented in the transmitter. Furthermore, an implementation of a feedback channel for Channel state information (CSI), utilised by closed-loop approaches of the MIMO precoding techniques, will be provided. The long round trip time and restrictive capacity of the feedback channel in satcom brings complementary challenges for the CSI based precoding. However, there is a potential for specific types of applications such as aeronautical/maritime systems, where the channel is predictable and there is no direct blockage of the line of sight component. What is more, optimisation of analytical calculations of the symbol-level precoding techniques is taken into consideration to make them straightforwardly applicable in simulations and in practice. The important outcome of the project will be a novel practically reasonable design of the techniques. Likewise, a novel over-the-air testbed with a satellite channel simulator for the novel symbol-level precoding algorithms will be another important outcome of the project. It will be an essential tool in the development, foreseeing and addressing the design issues of the realistic satcom precoders in collaboration with the industrial partner.

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