PAPR reduction in OFDM Systems: Zadoff-Chu matrix transform based pre/post-coding techniques

Imran Baig*, Varun Jeoti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

37 Citations (Scopus)

Abstract

High Peak to Average Power Ratio (PAPR) is one of the major drawbacks in Orthogonal Frequency Division Multiplexing (OFDM). The high PAPR increases the complexity of Analogue to Digital (A/D) and Digital to Analogue (D/A) converters and also reduces the efficiency of RF High Power Amplifier (HPA). In this paper, we propose two novel PAPR reduction techniques for OFDM systems, Zadoff-Chu matrix Transform (ZCT) precoding based PAPR reduction technique and ZCT postcoding based PAPR reduction technique. Simulation results show that, at clip rate of 10-1, the PAPR of our both proposed systems reduced to 0dB, 3dB, 4.1dB and 4.3dB for M-QAM (where M = 4, 16, 64, 256). Both ZCT precoding and postcoding based OFDM systems are shown better PAPR gain and Bit Error Rate (BER) performance than Walsh Hadamard Transform precoded OFDM (WHT-OFDM) and OFDM conventional.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
Pages373-377
Number of pages5
DOIs
Publication statusPublished - 1 Nov 2010
Externally publishedYes
Event2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010 - Liverpool, United Kingdom
Duration: 28 Jul 201030 Jul 2010

Publication series

NameProceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010

Conference

Conference2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
Country/TerritoryUnited Kingdom
CityLiverpool
Period28/07/1030/07/10

Keywords

  • BER
  • OFDM conventional
  • Peak to Average Power Ratio
  • WHT-OFDM
  • Zadoff-Chu matrix Transform

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