Performance Analysis of OFDM with Peak Cancellation under EVM and ACLR Restrictions

Tomoya Kageyama, Osamu Muta, Haris Gacanin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents performance analysis of an adaptive peak cancellation (PC) method to reduce the high peak-to-average power ratio (PAPR) for OFDM systems, while keeping the out-of-band (OoB) power leakage as well as an in-band distortion power below the pre-determined level. In this work, the increase of adjacent leakage power ratio (ACLR) and error vector magnitude (EVM) are estimated recursively using the detected peak amplitude. We present analytical framework for OFDM-based systems with theoretical bit error rate (BER) representations and detection of optimum peak threshold based on predefined EVM and ACLR requirements. Moreover, the optimum peak detection threshold is selected based on theoretical design to maintain the pre-defined distortion level. Thus, their degradations are restricted below the pre-defined levels which correspond to target OoB radiation. We also discuss the practical design of peak-cancellation signal with target OoB radiation and in-band distortion through optimizing the windowing size of the PC signal. Numerical results show the improvements with respect to both achievable BER and PAPR with the PC method in eigen-beam space division multiplexing (E-SDM) systems under restriction of OoB power radiation. It can also be seen that the theoretical BER shows good agreements with simulation results.

Original languageEnglish
Article number9055067
Pages (from-to)6230-6241
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Volume69
Issue number6
DOIs
Publication statusPublished - Jun 2020

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Performance Analysis of OFDM with Peak Cancellation under EVM and ACLR Restrictions'. Together they form a unique fingerprint.

  • Cite this