System and method for blind identification of multichannel finite impulse response filters using an iterative structured total least-squares technique

A method of blind identification of multichannel finite impulse response filters in an apparatus, comprising:

• constructing a block-Hankel structured matrix and a decomposition thereof from noisy symbols containing data;
• iteratively re-estimating singular vectors corresponding to a scalar that satisfies said block-Hankel matrix until a sufficient convergence occurs;
• generating a block-Hankel structured low-rank estimate matrix related to said block-Hankel structured matrix;
• and
• obtaining structured total least-squares (STLS) channel estimates from said block-Hankel structured low-rank estimate matrix.

A method of blind identification of multichannel finite impulse response filters in an apparatus, comprising:

• computing a decomposition of a block-Hankel structured matrix containing noisy data from multiple channels;
• computing an eigenvector corresponding to the smallest eigenvalue of said block-Hankel matrix to yield initial estimates for singular vectors corresponding to a scalar that satisfies said block-Hankel matrix;
• using re-estimated singular vectors to re-estimate symmetric positive definite matrices related to said decomposition until sufficient convergence occurs;
• and
• generating a block-Hankel structured low-rank estimate matrix related to said block-Hankel structured matrix.