Convolutional codes for peak-to-average power ratio reduction in OFDM

Chao Yu Chen*, Chung-Hsuan Wang, Chi Chao Chao

*Corresponding author for this work

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

One of the disadvantages of orthogonal frequency division multiplexing (OFDM) system is that OFDM signals may have high peak-to-average power ratio (PAPR). Almost all the previously proposed coding approaches dealing with this problem employ block codes. In this paper, we propose terminated convolutional codes with offset for PAPR reduction. The constructed convolutional codes, which can be easily decoded by using the Viterbi algorithm, have low PAPR and acceptable code rates.

Original languageEnglish
Number of pages1
JournalIEEE International Symposium on Information Theory - Proceedings
DOIs
StatePublished - 20 Oct 2003
EventProceedings 2003 IEEE International Symposium on Information Theory (ISIT) - Yokohama, Japan
Duration: 29 Jun 20034 Jul 2003

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