Title :
Finite-length MIMO adaptive equalization using canonical correlations
Author :
A. Dogandzic;A. Nehorai
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
We propose finite-length multi-input multi-output adaptive equalization methods for "smart" antenna arrays using the statistical theory of canonical correlations. We show that the proposed methods are related to maximum likelihood reduced-rank channel and noise estimation algorithms in unknown spatially correlated noise, and to several recently proposed adaptive equalization schemes.
Keywords :
"MIMO","Adaptive equalizers","Maximum likelihood estimation","Blind equalizers","Adaptive arrays","Linear antenna arrays","Noise reduction","Receiving antennas","Training data","Antenna theory"
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP ´01). 2001 IEEE International Conference on
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940419