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.
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.
More information
Identifiers
Catalogue record
Export record
Contributors
University divisions
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.