Multidimensional signal space partitioning using a minimal set of hyperplanes for detecting ISI-corrupted symbols.

A signal space partitioning technique is presented for detecting symbols transmitted through intersymbol interference channels. The decision boundary is piecewise linear and is made up of several hyperplanes. The goal here is to minimize the number of hyperplanes for a given performance measure, nam...

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Bibliographic Details
Published in:	IEEE Transactions on communications 48, 4 (2000).
Main Author:	Younggyun Kim
Format:	Article
Language:	English
Subjects:	ISI. ISI-corrupted symbols detection. Voronoi partitioning. Asymptotically optimum detector. Complexity. Convex regions. Decision region. Design parameter. Finite impulse response. Hyperplanes. In-class signals. Intersymbol interference channels. Maximum-likelihood sequence detector. Minimal set. Minimum distance. Multidimensional signal space partitioning. Performance. Performance measure. Piecewise linear decision boundary. Signal clusters separation. Signal space detector. Signal space partitioning. Symbol-error probability. Target distance.