Time domain cyclic-selective mapping for PAPR reduction using delayed correlation with matched filter in OFDM system

Panca Dewi Pamungkasari, Yukitoshi Sanada

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

6 Citations (Scopus)

Abstract

The cyclic-SLM which implements delayed correlation with a matched filter (DC-MF) is proposed in this paper. The cyclic-SLM reduces a peak-to-average power ratio (PAPR) on an orthogonal frequency divison multiplexing (OFDM) signal. This scheme combines the original OFDM signal and its cyclic shifted ones. However, it needs side information (SI) of the cyclic shifts to recover the original signal that decreases the throughput of a wireless OFDM system. The DC-MF estimates the amount of a shift in a receiver side by multipling a recieved signal with its conjugates of the guard interval (GI) sequence in the time domain. Numerical results obtained through computer simulation show that the cyclic-SLM with the DC-MF significantly reduces the PAPR by around 2.5 dB as compared to the original signal. It also achieves the accuracy rate of the amount of the shift close to 100 % and the BER of 10-4 at Eb/N0 = 8.8 dB that is close to the perfect shift estimation.

Original languageEnglish
Title of host publication2015 22nd International Conference on Telecommunications, ICT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages373-377
Number of pages5
ISBN (Electronic)9781479980789
DOIs
Publication statusPublished - 2015 Jun 16
Event2015 22nd International Conference on Telecommunications, ICT 2015 - Sydney, Australia
Duration: 2015 Apr 272015 Apr 29

Publication series

Name2015 22nd International Conference on Telecommunications, ICT 2015

Other

Other2015 22nd International Conference on Telecommunications, ICT 2015
Country/TerritoryAustralia
CitySydney
Period15/4/2715/4/29

Keywords

  • Cyclic-SLM
  • Delayed correlation
  • Matched filter
  • Peak-to-average power ratio (PAPR)
  • Selective mapping (SLM)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Signal Processing
  • Communication

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