Title :
Finite-length MIMO equalization using canonical correlation analysis
Author :
A. Dogandzic;A. Nehorai
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Chicago Univ., IL, USA
Abstract :
We propose finite-length multi-input multi-output (MIMO) equalization methods for "smart" antenna arrays using the statistical theory of canonical correlations. We show that the proposed methods are related to maximum likelihood (ML) reduced-rank channel and noise estimation algorithms in unknown spatially correlated noise as well as to several previously developed equalization schemes.
Keywords :
"MIMO","Maximum likelihood estimation","Noise reduction","Antenna arrays","Receiving antennas","Channel estimation","Blind equalizers","Transmitting antennas","Training data","Covariance matrix"
Journal_Title :
IEEE Transactions on Signal Processing
