Prediction of Radio Channels for OFDM by Autoregressive Modeling

Per-Ola Larsson

Prediction of Radio Channels for OFDM by Autoregressive Modeling

Per-Ola Larsson

Institutionen för reglerteknik

Forskningsoutput: Konferensbidrag › Konferenspaper, ej i proceeding/ej förlagsutgivet › Peer review

Sammanfattning

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.

Originalspråk	engelska
Status	Published - 2006
Evenemang	Reglermöte 2006 - Stockholm, Sverige Varaktighet: 2006 maj 30 → 2006 maj 31

Konferens

Konferens	Reglermöte 2006
Land/Territorium	Sverige
Ort	Stockholm
Period	2006/05/30 → 2006/05/31

Ämnesklassifikation (UKÄ)

Reglerteknik

Citera det här

@conference{a9ff12fbd3d64fe98e11dc14088348d7,

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.",

keywords = "prediction, autoregressive models, adaptation, communication channel",

author = "Per-Ola Larsson",

year = "2006",

language = "English",

note = "Reglerm{\"o}te 2006 ; Conference date: 30-05-2006 Through 31-05-2006",

}

TY - CONF

T1 - Prediction of Radio Channels for OFDM by Autoregressive Modeling

AU - Larsson, Per-Ola

PY - 2006

Y1 - 2006

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

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Fingeravtryck

Citera det här