Campus Units

Electrical and Computer Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

8-2005

Journal or Book Title

IEEE Transactions on Signal Processing

Volume

53

Issue

8

First Page

3065

Last Page

3080

DOI

10.1109/TSP.2005.850877

Abstract

We propose maximum likelihood (ML) and restricted maximum likelihood (REML) methods for estimating the mean and covariance parameters of multi-input multi-output (MIMO) Ricean and Rayleigh block-fading channels using measurements from multiple coherent intervals containing both amplitudes and phases of the received signal. Correlated and independent fading scenarios with structured and unstructured line-of-sight (LOS) array response models are considered. Computationally efficient ML and approximate ML (AML) estimators are proposed for unitary space-time modulation schemes and orthogonal designs in correlated fading. We also derive Crame/spl acute/r-Rao bounds (CRBs) for the unknown parameters, discuss initialization of the proposed algorithms, and evaluate their performance via numerical simulations under the block- and continuous-fading scenarios.

Comments

This is a manuscript of an article from IEEE Transactions on Signal Processing 53 (2005): 3065, doi:10.1109/TSP.2005.850877. Posted with permission.

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

Language

en

File Format

application/pdf

Published Version

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