Subspace-based blind channel estimation for MIMO-OFDM systems with new signal permutation method

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

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

Subspace-based blind channel estimation for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems with repetition index has been proposed in the literature. However, the full-row-rank probability of the signal matrix using the MIMO-based repetition index method is extremely low, especially when low-order modulation or few received OFDM symbols are used. In this paper, the MIMO-based repetition index method with a new signal permutation method is proposed. The proposed method solves the problem of previous MIMO-based repetition index method. Additionally, the proposed method performs well even if low-order modulation or few revived OFDM symbols are applied. Simulation results show that proposed method not only has high full-row-rank probability, but also outperforms conventional blind channel estimation approaches in terms of normalized mean-square error (NMSE).

Original languageEnglish
Article number7023113
JournalIEEE Vehicular Technology Conference
Volume2015-January
Issue numberJanuary
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 79th IEEE Vehicular Technology Conference, VTC 2014-Spring - Seoul, Korea, Republic of
Duration: 2014 May 182014 May 21

All Science Journal Classification (ASJC) codes

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

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