Soft-Input Soft-Output Sphere Decoding
Abstract
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.
Keywords
Cite
@article{arxiv.0811.4354,
title = {Soft-Input Soft-Output Sphere Decoding},
author = {Christoph Studer and Helmut Bölcskei},
journal= {arXiv preprint arXiv:0811.4354},
year = {2008}
}
Comments
presented at IEEE Int. Symposium on Information Theory (ISIT), Toronto, ON, Canada