Soft-Input Soft-Output Sphere Decoding

Details Soft-Input Soft-Output Sphere Decoding Soft-Input Soft-Output Sphere Decoding

2008-11-26

arxiv.org/abs/0811.4354v1

IEEE Int. Symposium on Information Theory (ISIT), Toronto, ON, Canada, pp. 2007-2011, July 2008

Computer Science

Information Theory

presented at IEEE Int. Symposium on Information Theory (ISIT), Toronto, ON, Canada

Scientific paper

Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. The associated computational complexity often poses significant challenges for practical receiver implementations, in particular in the context of multiple-input multiple-output wireless systems. In this paper, we present a low-complexity SISO sphere decoder which is based on the single tree search paradigm, proposed originally for soft-output detection in Studer et al., IEEE J-SAC, 2008. The algorithm incorporates clipping of the extrinsic log-likelihood ratios in the tree search, which not only results in significant complexity savings, but also allows to cover a large performance/complexity trade-off region by adjusting a single parameter.

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