Prediction of Radio Channels for OFDM by Autoregressive Modeling

Per-Ola Larsson

Prediction of Radio Channels for OFDM by Autoregressive Modeling

Per-Ola Larsson

Department of Automatic Control

Research output: Contribution to conference › Paper, not in proceeding › peer-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 language	English
Publication status	Published - 2006
Event	Reglermöte 2006 - Stockholm, Sweden Duration: 2006 May 30 → 2006 May 31

Conference

Conference	Reglermöte 2006
Country/Territory	Sweden
City	Stockholm
Period	2006/05/30 → 2006/05/31

Subject classification (UKÄ)

Control Engineering

Free keywords

prediction
autoregressive models
adaptation
communication channel

Cite this

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title = "Prediction of Radio Channels for OFDM by Autoregressive Modeling",

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.",

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N2 - 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.

AB - 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.

KW - prediction

KW - autoregressive models

KW - adaptation

KW - communication channel

M3 - Paper, not in proceeding

T2 - Reglermöte 2006

Y2 - 30 May 2006 through 31 May 2006

ER -

Prediction of Radio Channels for OFDM by Autoregressive Modeling

Abstract

Conference

Subject classification (UKÄ)

Free keywords

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Cite this