Subspace-based blind channel estimation for MIMO-OFDM systems with repetition index

Shih Hao Fang, Ju Ya Chen, Jing Shiun Lin, Ming Der Shieh, Dung Rung Hsieh, Jen Yuan Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A subspace-based blind channel estimation algorithm for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is proposed in this paper. The proposed algorithm for MIMO-OFDM systems generalizes the conventional repetition index approach, which is only suitable for single-input single-output (SISO)-OFDM systems. Additionally, the necessary conditions of the proposed algorithm to be full row rank are discussed. Simulation results show that the probability of full row rank of the proposed signal matrix is close to one for different constellation schemes. The proposed generalized approach also outperforms the conventional approach with virtual carriers (VCs) in terms of normalized mean-squared error (NMSE) under static channel environments even if the number of OFDM symbols is small.

Original languageEnglish
Title of host publication2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
DOIs
Publication statusPublished - 2013
Event2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
Duration: 2013 Sept 22013 Sept 5

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period13-09-0213-09-05

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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