Constellation shaping for non-uniform signals based on truncated Gaussian distribution

Gou Hosoya, Hiroyuki Yashima

研究成果: Conference contribution

抄録

We study the signal shaping based on the truncated Gaussian distribution. Since the possibility of reducing peak-to-average power ratio (PAPR) by the previous study with clipped Gaussian signal constellation is limited, we study PAPR reduction for one-dimensional signal constellation using the truncated Gaussian distribution. From the numerical results, we show that achievable rate of the truncated Gaussian distribution is larger than that of the clipped Gaussian signal constellation for wide range of SNR, while keeping the expansion of PAPR small. Moreover it is quite close to the uniform signal constellation for high SNR.

本文言語English
ホスト出版物のタイトルProceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ557-561
ページ数5
ISBN(電子版)9784885523090
出版ステータスPublished - 2017 2 2
外部発表はい
イベント3rd International Symposium on Information Theory and Its Applications, ISITA 2016 - Monterey, United States
継続期間: 2016 10 302016 11 2

出版物シリーズ

名前Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016

Other

Other3rd International Symposium on Information Theory and Its Applications, ISITA 2016
CountryUnited States
CityMonterey
Period16/10/3016/11/2

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Library and Information Sciences

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