MMSE Channel Prediction for Symbol-by-Symbol Adaptive OFDM Systems
MMSE Channel Prediction for Symbol-by-Symbol Adaptive OFDM Systems
Subband Adaptive Orthogonal Frequency Division Multiplexing (OFDM) constitutes an effective method of compensating for the frequency selective fading incurred by mobile receivers. The channel transfer function estimation error increases as a function of the Doppler frequency and of the subband modem mode signalling delay. This leads to a degradation of the system performance. In this contribution a 2D-MMSE channel-predictor is investigated as a means of compensating for these effects, which incorporates the scheme proposed in [I] into adaptive OFDM.
35/1-35/6
Münster, M.
c7bbba92-827f-4a77-bdc2-fbed67caab36
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
September 2000
Münster, M.
c7bbba92-827f-4a77-bdc2-fbed67caab36
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Münster, M. and Hanzo, L.
(2000)
MMSE Channel Prediction for Symbol-by-Symbol Adaptive OFDM Systems.
5th International OFDM-Workshop, Hotel Hafen, Hamburg, Hamburg, Germany.
12 - 13 Sep 2000.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Subband Adaptive Orthogonal Frequency Division Multiplexing (OFDM) constitutes an effective method of compensating for the frequency selective fading incurred by mobile receivers. The channel transfer function estimation error increases as a function of the Doppler frequency and of the subband modem mode signalling delay. This leads to a degradation of the system performance. In this contribution a 2D-MMSE channel-predictor is investigated as a means of compensating for these effects, which incorporates the scheme proposed in [I] into adaptive OFDM.
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mm-lh-OFDM-Sept-2000.pdf
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Published date: September 2000
Additional Information:
Event Dates: 12-13 September 2000
Venue - Dates:
5th International OFDM-Workshop, Hotel Hafen, Hamburg, Hamburg, Germany, 2000-09-12 - 2000-09-13
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 254448
URI: http://eprints.soton.ac.uk/id/eprint/254448
PURE UUID: 5c31c7ca-1e5b-4ea6-954a-0e257a85dd42
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Date deposited: 28 Jan 2004
Last modified: 18 Mar 2024 02:33
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Contributors
Author:
M. Münster
Author:
L. Hanzo
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