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Sequence detection for binary ISI channels using signal-space partitioning

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2 Author(s)
Jaekyun Moon ; Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA ; Taehyun Jeon

Binary symbol detection based on a sequence of finite observation signals is formulated in the multidimensional signal space. A systematic space partitioning method is proposed to divide the entire space into two decision regions using a set of hyperplanes. The resulting detector structure consists of K parallel linear classifiers followed by a K-to-1 Boolean mapper, and is well suited to high-speed implementation. Compared to direct implementation of the fixed-delay tree search (FDTS) detection rule, the proposed signal-space formulation results in a considerable saving in digital hardware. Examples taken from binary-input intersymbol interference (ISI) channels are used to demonstrate the proposed technique. Block processing strategies suitable for high-speed applications are also discussed

Published in:

Communications, IEEE Transactions on  (Volume:46 ,  Issue: 7 )

Date of Publication:

Jul 1998

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