Soft-Input Soft-Output Sphere Decoding

被引：14
|
作者：
Studer, Christoph [1 ]
Boelcskei, Helmut [2 ]
机构：
[1] Swiss Fed Inst Technol, Integrated Syst Lab, CH-8092 Zurich, Switzerland
[2] Swiss Fed Inst Technol, Commun Technol Lab, CH-8092 Zurich, Switzerland
来源：
2008 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-6 | 2008年
关键词：
D O I：
10.1109/ISIT.2008.4595341
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：2007 / +
页数：2
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