Reference : Interference Mitigating Satellite Broadcast Receiver using Reduced Complexity List-Ba...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/25021
Interference Mitigating Satellite Broadcast Receiver using Reduced Complexity List-Based Detection in Correlated Noise
English
Abu-Shaban, Zohair [> >]
Mehrpouyan, Hani [> >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
others [> >]
2014
arXiv preprint arXiv:1404.6544
Yes
International
[en] Overloaded receiver ; broadcasting satellites ; beamforming ; multi-user detection ; non-linear receivers
[en] The recent commercial trends towards using smaller dish antennas for satellite receivers, and the growing
density of broadcasting satellites, necessitate the application of robust adjacent satellite interference (ASI)
cancellation schemes. This orbital density growth along with the wider beamwidth of a smaller dish have
imposed an overloaded scenario at the satellite receiver, where the number of transmitting satellites exceeds
the number of receiving elements at the dish antenna. To ensure successful operation in this practical scenario,
we propose a satellite receiver that enhances signal detection from the desired satellite by mitigating the
interference from neighboring satellites. Towards this objective, we propose a reduced complexity list-based
group-wise search detection (RC-LGSD) receiver under the assumption of spatially correlated additive noise.
To further enhance detection performance, the proposed satellite receiver utilizes a newly designed whitening
filter to remove the spatial correlation amongst the noise parameters, while also applying a preprocessor that
maximizes the signal-to-interference-plus-noise ratio (SINR). Extensive simulations under practical scenarios
show that the proposed receiver enhances the performance of satellite broadcast systems in the presence of
ASI compared to existing methods
http://hdl.handle.net/10993/25021

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