Title :
Blind separation for precoding-based blind channel estimation for MIMO-OFDM systems
Author :
Song Noh ; Zoltowski, M.D.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
In this paper, the problem of blind channel separation for precoding-based blind channel estimation is considered in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In the new scheme, blind separation is achieved by implicitly “marking” the respective signal sent by each transmitter with a unique (known) circular time-shift during even-valued time slots. Separation of the blindly obtained channel mixtures is achieved through a combination of subspace alignment followed by SVD based computation of the intersection of two subspaces. Separability conditions required for the proposed precoding-based blind channel estimation are established. Numerical results are presented demonstrating the efficacy of the proposed algorithm.
Keywords :
MIMO communication; OFDM modulation; blind source separation; channel coding; channel estimation; precoding; singular value decomposition; MIMO-OFDM systems; SVD based computation; blind channel separation; circular time-shift; even-valued time slots; multiple-input multiple-output system; orthogonal frequency-division multiplexing system; precoding-based blind channel estimation; separability conditions; subspace alignment; Blind equalizers; Channel estimation; Covariance matrices; MIMO; OFDM; Transmitting antennas; Vectors;
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
DOI :
10.1109/ACSSC.2013.6810496