Document Type

Article

Publication Date

6-2004

Journal or Book Title

IEEE Transactions on Signal Processing

Volume

52

Issue

6

First Page

1791

Last Page

1797

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.

Comments

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.

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

Language

en

File Format

application/pdf

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