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Authors:
Nassar, Ali M. 
Document type:
Dissertation / Thesis 
Title:
A Multi-Channel Algorithm and Channel Modeling for Antenna Diversity of SiriusXM Vehicular Satellite Reception in Rayleigh-Scenarios 
Advisor:
Lindenmeier, Stefan, Prof. Dr.-Ing. 
Referee:
Lindenmeier, Stefan, Prof. Dr.-Ing.; Weigel, Robert, Prof. Dr.-Ing. 
Date oral examination:
26.07.2021 
Publication date:
28.09.2021 
Year:
2021 
Language:
Englisch 
Subject:
USA ; Satellitenrundfunk ; Störabstand ; Satellitenantenne ; Antennengruppe ; Signalaufbereitung ; Algorithmus ; Hochschulschrift 
Keywords:
Antenna Diversity, Scan/Phase Diversity Algorithm, Channel Modeling, SDARS 
Abstract:
For almost two decades, satellite digital audio radio services (SDARS) have been covering the continental USA with digital quality signals to millions of subscribers. However, the destructive superposition of wave components due to multipath in Rayleigh fading scenarios deteriorates the signal-to-noise ratio (SNR) significantly, so that the common antennas need to be mounted at the best position on top of the car in order to prevent an unpleasant listening experience for subscribers because of a...    »
 
DDC notation:
621.38835 
Department:
Fakultät für Elektrotechnik und Informationstechnik 
Institute:
EIT 5 - Institut für Hoch- und Höchstfrequenztechnik 
Chair:
Lindenmeier, Stefan 
Open Access yes or no?:
Ja / Yes