Channel-based multi-dimensional set partitioning for MIMO reduced-state sequence estimation

  • Authors:
  • Myoung-Seok Kim;Jaesang Ham;Chungyong Lee

  • Affiliations:
  • Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea;Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea;Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea

  • Venue:
  • IEEE Communications Letters
  • Year:
  • 2010

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Abstract

A multi-dimensional set partitioning (MDSP) is proposed for reduced-state sequence estimation of multi-path fading multiple input multiple output (MIMO) channels. The proposed MDSP takes channel state information into account when making a set partition because MIMO channels change the distance between symbol vectors in a multi-dimensional constellation. To reduce complexity of the proposed MDSP, we propose an efficient MDSP algorithm which exploits only typical error vectors for partitioning.