A practical MMSE-ML detector for a MIMO SC-FDMA system

Hoondong Noh, Myoungseok Kim, Jaesang Ham, Chungyong Lee

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

We propose a new minimum mean square error (MMSE) based maximum likelihood (ML) detector for a single carrier frequency division multiple access system. By utilizing the distance between decision line and MMSE soft-output, the proposed detector reduces the resources required to check superfluously accurate reliability of received symbol. The proposed detector provides almost same bit error rate with the conventional MMSE-ML detector while requiring significantly low computational complexity (below 10%) as SNR varies.

Original languageEnglish
Article number5353257
Pages (from-to)902-904
Number of pages3
JournalIEEE Communications Letters
Volume13
Issue number12
DOIs
Publication statusPublished - 2009 Dec 1

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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