Adaptive Bayesian decision feedback equalizer for dispersive mobile radio channels
Adaptive Bayesian decision feedback equalizer for dispersive mobile radio channels
The paper investigates adaptive equalization of time dispersive mobile ratio fading channels and develops a robust high performance Bayesian decision feedback equalizer (DFE). The characteristics and implementation aspects of this Bayesian DFE are analyzed, and its performance is compared with those of the conventional symbol or fractional spaced DFE and the maximum likelihood sequence estimator (MLSE). In terms of computational complexity, the adaptive Bayesian DFE is slightly more complex than the conventional DFE but is much simpler than the adaptive MLSE. In terms of error rate in symbol detection, the adaptive Bayesian DFE outperforms the conventional DFE dramatically. Moreover, for severely fading multipath channels, the adaptive MLSE exhibits significant degradation from the theoretical optimal performance and becomes inferior to the adaptive Bayesian DFE.
1937-1946
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
McLaughlin, S.
d8651585-025f-4ea9-bd15-cef87f323624
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Grant, P. M.
e527fff4-da0f-4bc4-91cf-eed522070300
1 May 1995
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
McLaughlin, S.
d8651585-025f-4ea9-bd15-cef87f323624
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Grant, P. M.
e527fff4-da0f-4bc4-91cf-eed522070300
Chen, Sheng, McLaughlin, S., Mulgrew, B. and Grant, P. M.
(1995)
Adaptive Bayesian decision feedback equalizer for dispersive mobile radio channels.
IEEE Transactions on Communications, 43 (5), .
(doi:10.1109/26.387409).
Abstract
The paper investigates adaptive equalization of time dispersive mobile ratio fading channels and develops a robust high performance Bayesian decision feedback equalizer (DFE). The characteristics and implementation aspects of this Bayesian DFE are analyzed, and its performance is compared with those of the conventional symbol or fractional spaced DFE and the maximum likelihood sequence estimator (MLSE). In terms of computational complexity, the adaptive Bayesian DFE is slightly more complex than the conventional DFE but is much simpler than the adaptive MLSE. In terms of error rate in symbol detection, the adaptive Bayesian DFE outperforms the conventional DFE dramatically. Moreover, for severely fading multipath channels, the adaptive MLSE exhibits significant degradation from the theoretical optimal performance and becomes inferior to the adaptive Bayesian DFE.
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Published date: 1 May 1995
Organisations:
Southampton Wireless Group
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Local EPrints ID: 251085
URI: http://eprints.soton.ac.uk/id/eprint/251085
PURE UUID: 48f5fff1-891a-4bac-b09d-3109db2f9f42
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Date deposited: 12 Oct 1999
Last modified: 14 Mar 2024 05:08
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Author:
Sheng Chen
Author:
S. McLaughlin
Author:
B. Mulgrew
Author:
P. M. Grant
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