DocumentCode :
1324917
Title :
Soft–Input Soft–Output Single Tree-Search Sphere Decoding
Author :
Studer, Christoph ; Bölcskei, Helmut
Author_Institution :
Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
Volume :
56
Issue :
10
fYear :
2010
Firstpage :
4827
Lastpage :
4842
Abstract :
Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. The computational complexity of SISO detection often poses significant challenges for practical receiver implementations, in particular in the context of multiple-input multiple-output (MIMO) wireless communication systems. In this paper, we present a low-complexity SISO sphere-decoding algorithm, based on the single tree-search paradigm proposed originally for soft-output MIMO detection in Studer (“Soft-output sphere decoding: Algorithms and VLSI implementation,” IEEE J. Sel. Areas Commun., vol. 26, no. 2, pp. 290-300, Feb. 2008). The new algorithm incorporates clipping of the extrinsic log-likelihood ratios (LLRs) into the tree-search, which results in significant complexity savings and allows to cover a large performance/complexity tradeoff region by adjusting a single parameter. Furthermore, we propose a new method for correcting approximate LLRs - resulting from sub-optimal detectors - which (often significantly) improves detection performance at low additional computational complexity.
Keywords :
MIMO communication; computational complexity; iterative decoding; tree searching; MIMO communication system; SISO detection; computational complexity; iterative decoding; log-likelihood ratios; multiple-input multiple-output wireless communication systems; soft-input soft-output single tree-search sphere decoding; Computational complexity; Decoding; Detectors; Iterative decoding; MIMO; Measurement; Multiple–input multiple–output (MIMO) communication; iterative MIMO decoding; soft–input soft–output (SISO) detection; sphere decoding;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2010.2059730
Filename :
5571884
Link To Document :
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