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Joint channel estimation and data detection using a blind Bayesian decision feedback equaliser

Joint channel estimation and data detection using a blind Bayesian decision feedback equaliser
Joint channel estimation and data detection using a blind Bayesian decision feedback equaliser
A blind adaptive algorithm for channel equalisation is proposed based on a joint channel estimation and data detection approach. A basic unit of the algorithm consists of a bank of least mean square (LMS) adaptive film and Bayesian
symbol-by-symbol decision feedback equalisers (DFEs). To increase reliability, a variety of initial conditions can be covered by including several such units. The performance of each unit is monitored by examining its estimated mean square error (MSE), and those units which perform poorly can then be switched of€. The nature of this blind adaptive algorithm leads to simple and efficient parallel implementation. As is demonstrated in the simulation, convergence can be achieved within a few hundred symbols when a 4level symbol constellation is used.
2017-2021
Chen, S.
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, S.
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, S., McLaughlin, S., Mulgrew, B. and Grant, P. M. (1993) Joint channel estimation and data detection using a blind Bayesian decision feedback equaliser. IEEE GLOBECOM'93, Houston, United States. 29 Nov - 02 Dec 1993. pp. 2017-2021 .

Record type: Conference or Workshop Item (Paper)

Abstract

A blind adaptive algorithm for channel equalisation is proposed based on a joint channel estimation and data detection approach. A basic unit of the algorithm consists of a bank of least mean square (LMS) adaptive film and Bayesian
symbol-by-symbol decision feedback equalisers (DFEs). To increase reliability, a variety of initial conditions can be covered by including several such units. The performance of each unit is monitored by examining its estimated mean square error (MSE), and those units which perform poorly can then be switched of€. The nature of this blind adaptive algorithm leads to simple and efficient parallel implementation. As is demonstrated in the simulation, convergence can be achieved within a few hundred symbols when a 4level symbol constellation is used.

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More information

Published date: 1993
Additional Information: IEEE GLOBECOM'93 (Houston, USA), Nov. 29-Dec. 2, 1993. Event Dates: Nov. 29-Dec. 2, 1993
Venue - Dates: IEEE GLOBECOM'93, Houston, United States, 1993-11-29 - 1993-12-02
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251121
URI: http://eprints.soton.ac.uk/id/eprint/251121
PURE UUID: ed4bae45-a9de-42a2-a5b5-7e94c86125c6

Catalogue record

Date deposited: 12 Oct 1999
Last modified: 03 Feb 2022 17:48

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Contributors

Author: S. Chen
Author: S. McLaughlin
Author: B. Mulgrew
Author: P. M. Grant

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