@phdthesis{,
    author = {Nassar, Ali M.},
    title = {A Multi-Channel Algorithm and Channel Modeling for Antenna Diversity of SiriusXM Vehicular Satellite Reception in Rayleigh-Scenarios},
    editor = {},
    booktitle = {},
    series = {},
    journal = {},
    address = {},
    publisher = {},
    edition = {},
    year = {2021},
    isbn = {},
    volume = {},
    number =  {},
    pages = {},
    url = {},
    doi = {},
    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 audio mutes. For making possible also other more critical mounting positions multi-antenna diversity systems are investigated. First, a channel model to investigate the effects of dense foliage on the wave propagation in such scenarios is presented. Furthermore, a multi-channel scan-phase algorithm for the upper SiriusXM band is introduced. Moreover, an analysis of noise influence on the diversity performance for SDARS systems at 2.33GHz and a method for correction of this influence in a diversity algorithm are introduced. Measurements with a compact scan-phase diversity module with an integrated circuit of small dimensions are presented applying this multi-channel algorithm ensuring the improvement of signal availability in comparison to single antennas.},
    note = {},
    
    school = {Universität der Bundeswehr München},
    
}