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Multiple Hyperplane Detector for Implementing the Asymptotic Bayesian Decision Feeback Equalizer

Chen, S., Hanzo, L. and Mulgrew, B. (2001) Multiple Hyperplane Detector for Implementing the Asymptotic Bayesian Decision Feeback Equalizer At ICC'01, Finland. 11 - 15 Jun 2001. , pp. 361-365.

Record type: Conference or Workshop Item (Paper)


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: 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'01, Finland, 2001-06-11 - 2001-06-15
Organisations: Southampton Wireless Group


Local EPrints ID: 253683
PURE UUID: 6e8f33b9-120b-4dcf-bf36-d56382706047

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Date deposited: 17 Dec 2003
Last modified: 18 Jul 2017 09:56

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Author: S. Chen
Author: L. Hanzo
Author: B. Mulgrew

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