Subspace-Based Blind Channel Estimation for SISO, MISO and MIMO OFDM Systems

Feifei Gao*, A. Nallanathan, Arumugam Nallanathan

*Corresponding author for this work

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

10 Citations (Scopus)

Abstract

We develop a simple subspace-based blind channel estimation technique for single-input single-output (SISO) and multi-input multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems based on a non-redundant linear block precoding. A novel contribution is that the proposed method can be applied for channel estimation in multi-input single-output (MISO) systems, where the traditional subspace based methods cannot be applied. Further consideration that can eliminate the multi-dimensional ambiguity for multiple transmitter scenarios is also provided. The numerical results clearly show the effectiveness of our proposed algorithm.

Original languageEnglish
Title of host publication2006 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-12
Place of PublicationNEW YORK
PublisherIEEE
Pages3025-3030
Number of pages6
Publication statusPublished - 2006
EventIEEE International Conference on Communications (ICC 2006) - Istanbul, Turkey
Duration: 11 Jun 200615 Jun 2006

Publication series

NameIEEE International Conference on Communications
PublisherIEEE
ISSN (Print)1550-3607

Conference

ConferenceIEEE International Conference on Communications (ICC 2006)
Country/TerritoryTurkey
Period11/06/200615/06/2006

Keywords

  • IDENTIFICATION
  • DIVERSITY

Fingerprint

Dive into the research topics of 'Subspace-Based Blind Channel Estimation for SISO, MISO and MIMO OFDM Systems'. Together they form a unique fingerprint.

Cite this