A compensation method based on recursive processing of nonlinear distortion for OFDM

Hiroyuki Hosono*, Taisuke Hosokawa, Tsuyoshi Maeda, Fumiaki Maehara, Fumio Takahata

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

OFDM (orthogonal frequency division multiplexing) signal generates a very large signal amplitude. Consequently, distortion due to nonlinearity is produced when the signal is amplified through a nonlinear amplifier, which greatly degrades BER (bit-error rate) performance. As a method of handling this problem, this paper proposes highly accurate compensation processing of nonlinear distortion by constructing a replica of the OFDM signal in the receiver. The proposed method is based on the hard decision result of demodulated received symbols containing nonlinear distortion, and the nonlinear distortion component is recursively estimated and compensated. The performance of the proposed method is evaluated by computer simulation assuming a thermal noise environment, and it is shown that the proposed method is better in both BER and the number of constructed replicas. The performance of the proposed method is also evaluated assuming a fading environment when the method is applied to land mobile communications. The problems of fading compensation when the distortion caused by nonlinear amplification is superposed are pointed out.

Original languageEnglish
Pages (from-to)55-65
Number of pages11
JournalElectronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi)
Volume87
Issue number7
DOIs
Publication statusPublished - 2004 Jul

Keywords

  • Nonlinear amplification
  • Nonlinear distortion compensation
  • OFDM
  • Replica

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A compensation method based on recursive processing of nonlinear distortion for OFDM'. Together they form a unique fingerprint.

Cite this