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Overloaded satellite receiver using SIC with hybrid beamforming and ML detection
SnT - University of Luxembourg, Luxembourg . (Signal Processing)ORCID iD: 0000-0003-2298-6774
2013 (English)In: 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), New York: IEEE , 2013, 450-454 p.Conference paper (Refereed)
Abstract [en]

In this paper, a new receiver structure that is intended to detect the signals from multiple adjacent satellites in the presence of other interfering satellites is proposed. We tackle the worst case interference conditions, i.e., it is assumed that uncoded signals that fully overlap in frequency arrive at a multiple-element small-size parabolic antenna in a spatially correlated noise environment. The proposed successive interference cancellation (SIC) receiver, denoted by SIC Hy/ML, employs hybrid beamforming and disjoint maximum likelihood (ML) detection. Depending on the individual signals spatial position, the proposed SIC Hy/ML scheme takes advantage of two types of beamformers: a maximum ratio combining (MRC) beamformer and a compromised array response (CAR) beamformer. The performance of the proposed receiver is compared to an SIC receiver that uses only MRC beamforming scheme with ML detection for all signals, a joint ML detector, and a minimum mean square error detector. It is found that SIC Hy/ML outperforms the other schemes by a large margin.

Place, publisher, year, edition, pages
New York: IEEE , 2013. 450-454 p.
, IEEE International Workshop on Signal Processing Advances in Wireless Communications, ISSN 2325-3789
Keyword [en]
Hybrid beamforming, Interference condition, Maximum ratio combining, Maximum-likelihood detection, Minimum mean square error detectors, Satellite receivers, Spatially correlated noise, Successive interference cancellation(SIC)
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-139008DOI: 10.1109/SPAWC.2013.6612090ISI: 000333366400091ScopusID: 2-s2.0-84885717958ISBN: 978-146735577-3OAI: diva2:682124
2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013; Darmstadt; Germany; 16 June 2013 through 19 June 2013

QC 20140602

Available from: 2013-12-23 Created: 2013-12-23 Last updated: 2014-06-02Bibliographically approved

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Ottersten, Björn
Signal Processing

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