A Low Complexity Soft-Output MIMO Decoding Algorithm

Zhan Guo, Peter Nilsson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

3 Citations (SciVal)

Abstract

The K-best Schnoff-Euchner (KSE) decoding algorithm is shown to be capable of supporting soft-outputs for MIMO detection. A modified KSE (MKSE) decoding algorithm is further proposed to improve the performance of the soft-output KSE with minor modifications. Simulation results show that the proposed MKSE algorithm can approach near-optimal performance with lower complexity and is suitable for coded MIMO detection without iterations
Original languageEnglish
Title of host publicationIEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, 2005
Pages18-21
DOIs
Publication statusPublished - 2005
EventIEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication - Princeton, New Jersey, United States
Duration: 2005 Apr 182005 Apr 19

Conference

ConferenceIEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Country/TerritoryUnited States
CityPrinceton, New Jersey
Period2005/04/182005/04/19

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • MIMO systems
  • signal detection
  • transmitting antennas
  • radio links receiving antennas
  • decoding
  • computational complexity

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