Article
Semi-blind SIMO flat-fading channel estimation in unknown spatially correlated noise using the EM algorithm
IEEE Transactions on Signal Processing
Document Type
Article
Disciplines
Publication Date
6-1-2004
DOI
10.1109/TSP.2004.827200
Abstract
We present a maximum likelihood (ML) method for semi-blind estimation of single-input multi-output (SIMO) flat-fading channels in spatially correlated noise having unknown covariance. An expectation-maximization (EM) algorithm is utilized to compute the ML estimates of the channel and spatial noise covariance. We derive the Crame´r-Rao bound (CRB) matrix for the unknown parameters and present a symbol detector that utilizes the EM channel estimates. Numerical simulations demonstrate the performance of the proposed method.
Rights
© 2004 IEEE. 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
2004
Language
en
File Format
application/pdf
Citation Information
Zhengdao Wang, Wei Mo and Aleksandar Dogandžić. "Semi-blind SIMO flat-fading channel estimation in unknown spatially correlated noise using the EM algorithm" IEEE Transactions on Signal Processing Vol. 52 Iss. 6 (2004) p. 1791 - 1797 Available at: http://works.bepress.com/zhengdao_wang/1/
This is a post-print of an article from IEEE Transactions on Signal Processing 52 (2004): 1791–1797, doi:10.1109/TSP.2004.827200. Posted with permission.