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Soft-output sphere decoding: Performance and implementation aspects

  • C. Studer*
  • , M. Wenk
  • , A. Burg
  • , H. Bölcskei
  • *Corresponding author for this work
  • ETH Zurich—Institute for Particle Physics and Astrophysics (IPA)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Multiple-input multiple-output (MIMO) detection algorithms providing soft information for a subsequent channel decoder pose significant implementation challenges due to their high computational complexity. In this paper, we show how sphere decoding can be used as an efficient tool to implement soft-output MIMO detection with flexible trade-offs between computational complexity and (error rate) performance. In particular, we demonstrate that single tree search, ordered QR decomposition, channel matrix regularization, and log-likelihood ratio clipping are the key ingredients for realizing soft-output MIMO detectors with near max-log performance at a computational complexity that is reasonably close to that of hard-output sphere decoding.

Original languageEnglish
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
PublisherIEEE Computer Society
Pages2071-2076
Number of pages6
ISBN (Print)1424407850, 9781424407859
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event40th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2006 - Pacific Grove, CA, United States
Duration: 29 Oct 20061 Nov 2006

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference40th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2006
Country/TerritoryUnited States
CityPacific Grove, CA
Period29/10/061/11/06

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