Statistical covariance-matching based blind channel estimation for zero-padding MIMO-OFDM systems

Yi Sheng Chen*, Jwo-Yuh Wu

*Corresponding author for this work

Research output: Contribution to journalArticle

7 Scopus citations


We propose a statistical covariance-matching based blind channel estimation scheme for zero-padding (ZP) multipleinput multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems. By exploiting the block Toeplitz channel matrix structure, it is shown that the linear equations relating the entries of the received covariance matrix and the outer product of the MIMO channel matrix taps can be rearranged into a set of decoupled groups. The decoupled nature reduces computations, and more importantly guarantees unique recovery of the channel matrix outer product under a quite mild condition. Then the channel impulse response matrix is identified, up to a Hermitian matrix ambiguity, through an eigen-decomposition of the outer product matrix. Simulation results are used to evidence the advantages of the proposed method over a recently reported subspace algorithm applicable to the ZP-based MIMO-OFDM scheme.

Original languageEnglish
Article number139
JournalEurasip Journal on Advances in Signal Processing
Issue number1
StatePublished - 1 Dec 2012


  • Blind channel estimation
  • Zero padding

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