Campus Units
Electrical and Computer Engineering
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
8-7-2002
Journal or Book Title
IEEE Transactions on Signal Processing
Volume
50
Issue
4
First Page
984
Last Page
989
DOI
10.1109/78.992151
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.
Rights
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Copyright Owner
IEEE
Copyright Date
2002
Language
en
File Format
application/pdf
Recommended Citation
Dogandžić, Aleksandar and Nehorai, Arye, "Finite-length MIMO equalization using canonical correlation analysis" (2002). Electrical and Computer Engineering Publications. 129.
https://lib.dr.iastate.edu/ece_pubs/129
Comments
This is a manuscript of an article from IEEE Transactions on Signal Processing 50 (2002): 984, doi:10.1109/78.992151. Posted with permission.