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Adaptive Bayesian decision feedback equaliser based on a radial basis function network

Adaptive Bayesian decision feedback equaliser based on a radial basis function network
Adaptive Bayesian decision feedback equaliser based on a radial basis function network
The authors derive a novel Bayesian decision feedback equalizer (DFE) for digital communications channel equalization. It is shown how decision feedback is utilized to improve equalizer performance as well as to reduce computational complexity. The relationship between the Bayesian solution and the radial basis function (RBF) network is emphasized and two adaptive schemes are described for implementing the Bayesian DFE using the RBF network. The maximum likelihood sequence estimator (MLSE) and the conventional DFE are used as two benchmarks to assess the performance of the Bayesian DFE.
343.3.1-343.3.5
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
McLaughlin, S.
d8651585-025f-4ea9-bd15-cef87f323624
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
McLaughlin, S.
d8651585-025f-4ea9-bd15-cef87f323624

Chen, S., Mulgrew, B. and McLaughlin, S. (1992) Adaptive Bayesian decision feedback equaliser based on a radial basis function network. IEEE International Conference on Communications (ICC'92), Chicago, United States. 343.3.1-343.3.5 . (doi:10.1109/ICC.1992.268037).

Record type: Conference or Workshop Item (Paper)

Abstract

The authors derive a novel Bayesian decision feedback equalizer (DFE) for digital communications channel equalization. It is shown how decision feedback is utilized to improve equalizer performance as well as to reduce computational complexity. The relationship between the Bayesian solution and the radial basis function (RBF) network is emphasized and two adaptive schemes are described for implementing the Bayesian DFE using the RBF network. The maximum likelihood sequence estimator (MLSE) and the conventional DFE are used as two benchmarks to assess the performance of the Bayesian DFE.

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More information

Published date: 1992
Venue - Dates: IEEE International Conference on Communications (ICC'92), Chicago, United States, 1992-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251113
URI: https://eprints.soton.ac.uk/id/eprint/251113
PURE UUID: 7d23f63d-1a93-410e-87f1-522ecc237558

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Date deposited: 12 Oct 1999
Last modified: 08 Mar 2019 17:30

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