A blind selected mapping technique for low-PAPR single-carrier signal transmission

Amnart Boonkajay, Fumiyuki Adachi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)

    Abstract

    Single-carrier (SC) signals have a low peak-to-average power ratio (PAPR) property. However, the PAPR becomes higher as the modulation level increases. We have recently proposed a frequency-domain selected mapping (FD-SLM) which can effectively reduce PAPR of SC signal with high modulation level, but standard SLM technique requires the transmission of side-information to the receiver side. In this paper, a new FD-SLM with minimum mean-square error (MMSE) based blind signal detection is proposed, where there is no change on SLM algorithm at the transmitter and no necessity of side-information transmission. Simulation results show that the proposed blind FD-SLM technique reduces the PAPR of SC signals without significant degradation of bit-error rate (BER) performance.

    Original languageEnglish
    Title of host publication2015 10th International Conference on Information, Communications and Signal Processing, ICICS 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781467372183
    DOIs
    Publication statusPublished - 2016 Apr 26
    Event10th International Conference on Information, Communications and Signal Processing, ICICS 2015 - Singapore, Singapore
    Duration: 2015 Dec 22015 Dec 4

    Publication series

    Name2015 10th International Conference on Information, Communications and Signal Processing, ICICS 2015

    Other

    Other10th International Conference on Information, Communications and Signal Processing, ICICS 2015
    Country/TerritorySingapore
    CitySingapore
    Period15/12/215/12/4

    Keywords

    • Peak-to-average power ratio (PAPR)
    • Single-carrier (SC) transmission
    • selected mapping (SLM)

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems
    • Signal Processing

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