Prediction of Radio Channels for OFDM by Autoregressive Modeling

Per-Ola Larsson

Research output: Contribution to conferencePaper, not in proceedingpeer-review

Abstract

This paper presents a prediction algorithm for OFDM radio channels in
either time or frequency direction that explores the over sampling of the channel transfer function compared to the maximum Doppler shift and the maximum
excess delay. The algorithm derives an autoregressive model utilized for prediction. Pre-filtering of channel estimates are concerned and the prediction approach is appraised as a tool for adaptive symbol mapping.
Original languageEnglish
Publication statusPublished - 2006
EventReglermöte 2006 - Stockholm, Sweden
Duration: 2006 May 302006 May 31

Conference

ConferenceReglermöte 2006
Country/TerritorySweden
CityStockholm
Period2006/05/302006/05/31

Subject classification (UKÄ)

  • Control Engineering

Free keywords

  • prediction
  • autoregressive models
  • adaptation
  • communication channel

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