Index modulation (IM) has been developed as an energy-efficient transmission scheme for applications where high data rate is required with a limited energy budget. Meanwhile, multiple input multiple output (MIMO) and orthogonal frequency division multiplexing (OFDM) have been proved to be promising for the physical layer of wireless systems. Therefore, the concept of combining these three schemes to take all the advantages is emerging and the resulted systems are umbrellaed under the name of space-frequency index modulation (SFIM) systems. However, peak-to-average power ratio (PAPR) poses a challenge for SFIM due to the use of OFDM structure. Clipping is a low-complexity and effective measure to reduce the PAPR, however, it introduces distortions that degrade the system error performance. To address this issue, a hard-decision based cancellation method is proposed for the clipped SFIM system in this paper, which shows significant performance gains by effectively estimating the clipping noise and canceling it from the received signals.


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    Titel :

    Signal Restoration for Clipped Space-Frequency Index Modulation Systems


    Beteiligte:
    Cao, Rui (Autor:in) / Lei, Xia (Autor:in) / Xiao, Yue (Autor:in)


    Erscheinungsdatum :

    01.05.2020


    Format / Umfang :

    123797 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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