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Signal Space Detection for High Data Rate Channels  

Jeon , Taehyun (Seoul National University of Technology)
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Abstract
This paper generalizes the concept of the signal space detection to construct a fixed delay tree search (FDTS) detector which estimates a block of n channel symbols at a time. This technique is applicable to high speed implementation. Two approaches are discussed both of which are based on efficient signal space partitioning. In the first approach, symbol detection is performed based on a multi-class partitioning of the signal space. This approach is a generalization of binary symbol detection based on a two-class pattern classification. In the second approach, binary signal detection is combined with a look-ahead technique, resulting in a highly parallel detector architecture.
Keywords
Fixed selav tree search; signal detection; multi-class partitioning; intersymbol interference;
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