Multiple hyperplane detector for implementing the asymptotic Bayesian decision feedback equalizer
Multiple hyperplane detector for implementing the asymptotic Bayesian decision feedback equalizer
A detector based on multiple-hyperplane partitioning of the signal space is derived for realizing the Bayesian decision feedback equaliser (DFE). It is known that the optimal Bayesian decision boundary separating any two neighbouring signal classes is asymptotically piecewise linear and consists of several hyperplanes, when the signal to noise ratio (SNR) tends to infinity. The proposed technique determines these hyperplanes and uses them to partition the observation space. The resulting detector can closely approximate the optimal Bayesian detector, at an advantage of considerably reduced decision complexity.
361-365
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
11 June 2001
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Chen, Sheng, Hanzo, Lajos and Mulgrew, B.
(2001)
Multiple hyperplane detector for implementing the asymptotic Bayesian decision feedback equalizer.
In,
ICC 2001: IEEE International Conference on Communications.
ICC 2001: IEEE International Conference on Communications (11/06/01 - 15/06/01)
IEEE, .
(doi:10.1109/ICC.2001.936963).
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Book Section
Abstract
A detector based on multiple-hyperplane partitioning of the signal space is derived for realizing the Bayesian decision feedback equaliser (DFE). It is known that the optimal Bayesian decision boundary separating any two neighbouring signal classes is asymptotically piecewise linear and consists of several hyperplanes, when the signal to noise ratio (SNR) tends to infinity. The proposed technique determines these hyperplanes and uses them to partition the observation space. The resulting detector can closely approximate the optimal Bayesian detector, at an advantage of considerably reduced decision complexity.
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Published date: 11 June 2001
Additional Information:
Presented at IEEE Int. Conf. Communications (Helsinki, Finland), June 11-15, 2001. Support of U.K. Royal Society under a conference grant (RSS/SG/24389/004/C1) is gratefully acknowledged. Event Dates: 11-15 June 2001 Organisation: IEEE Communications Society
Venue - Dates:
ICC 2001: IEEE International Conference on Communications, , Helsinki, Finland, 2001-06-11 - 2001-06-15
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 253683
URI: http://eprints.soton.ac.uk/id/eprint/253683
PURE UUID: 6e8f33b9-120b-4dcf-bf36-d56382706047
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Date deposited: 17 Dec 2003
Last modified: 18 Mar 2024 02:33
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Contributors
Author:
Sheng Chen
Author:
Lajos Hanzo
Author:
B. Mulgrew
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