Frequency-domain adaptive prediction iterative channel estimation for OFDM signal reception

Shinsuke Takaoka, Fumiyuki Adachi

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

In this letter, pilot-assisted adaptive prediction iterative channel estimation in frequency-domain is presented for the antenna diversity reception of orthogonal frequency division multiplexing (OFDM) signals. A frequency-domain adaptive prediction filtering is applied to iterative channel estimation for improving the tracking capability against frequency-domain variations in a severe frequency-selective fading channel. Also, in order to track the changing fading environment, the tap weights of frequency-domain prediction filter are updated using the simple NLMS algorithm. Updating of tap weights is incorporated into the iterative channel estimation loop to achieve faster convergence rate. The average bit error rate (BER) performance in a frequency-selective Rayleigh fading channel is evaluated by computer simulation. It is confirmed that the frequency-domain adaptive prediction iterative channel estimation provides better BER performance than the conventional iterative channel estimation schemes.

Original languageEnglish
Pages (from-to)1730-1734
Number of pages5
JournalIEICE Transactions on Communications
VolumeE88-B
Issue number4
DOIs
Publication statusPublished - 2005

Keywords

  • Adaptive prediction
  • Frequency-selective fading
  • Iterative channel estimation
  • OFDM

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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