Recursive least-squares adaptive channel estimation for spatial modulation systems

Mohammed Mujahid Ulla Faiz, Samir Al-Ghadhban, Azzedine Zerguine

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

30 Scopus citations

Abstract

In this paper, a recursive least-squares (RLS) adaptive channel estimation scheme is applied for spatial modulation (SM) system over a block fading multiple-input-multiple-output (MIMO) channel. The performance of spatial modulation with channel estimation is compared to vertical Bell Labs layered space-time (V-BLAST) and maximum ratio combining (MRC) transmission schemes for different pilot rates and a fixed 3-b/s/Hz spectral efficiency. Computer simulations carried out demonstrate the superiority of SM over V-BLAST and MRC schemes. In addition, the results in this study show that SM is more robust against channel estimation errors than the other MIMO schemes.

Original languageEnglish
Title of host publicationProceedings - MICC 2009
Subtitle of host publication2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents
Pages785-788
Number of pages4
DOIs
StatePublished - 2009

Publication series

NameProceedings - MICC 2009: 2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents

Keywords

  • Block fading
  • Channel estimation
  • Multiple-input-multiple-output (MIMO)
  • Recursive least-squares (RLS)
  • Spatial modulation (SM)
  • Vertical bell labs layered space-time (V-BLAST)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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