Multiuser channel estimation from higher-order statistical matrix pencil

Authors:
Jing Liang;Zhi Ding
Affiliations:
Department of Electrical and Computer Engineering, University of California, Davis, CA;Department of Electrical and Computer Engineering, University of California, Davis, CA
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2002

Citing 20
Cited 1

Identification of multichannel MA parameters using higher-order statistics

Signal Processing - Special issue on higher order statistics
Bibliography on higher-order statistics

Signal Processing
Templates for the solution of algebraic eigenvalue problems: a practical guide

Templates for the solution of algebraic eigenvalue problems: a practical guide
Time series: data analysis and theory

Time series: data analysis and theory
Multistep linear predictors-based blind identification andequalization of multiple-input multiple-output channels

IEEE Transactions on Signal Processing
Bilinear approach to multiuser second-order statistics-based blindchannel estimation

IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters

IEEE Transactions on Signal Processing
A two-stage algorithm for MIMO blind deconvolution of nonstationarycolored signals

IEEE Transactions on Signal Processing
On the use of kernel structure for blind equalization

IEEE Transactions on Signal Processing
A matrix-pencil approach to blind separation of colorednonstationary signals

IEEE Transactions on Signal Processing
Blind multiuser channel estimation in asynchronous CDMA systems

IEEE Transactions on Signal Processing
Blind spatio-temporal equalization and impulse response estimationfor MIMO channels using a Godard cost function

IEEE Transactions on Signal Processing
Cumulant-based blind identification of linearmulti-input-multi-output systems driven by colored inputs

IEEE Transactions on Signal Processing
On blind multiuser forward link channel estimation by the subspacemethod: identifiability results

IEEE Transactions on Signal Processing
Identification and deconvolution of multichannel linearnon-Gaussian processes using higher order statistics and inverse filtercriteria

IEEE Transactions on Signal Processing
A globally convergent approach for blind MIMO adaptivedeconvolution

IEEE Transactions on Signal Processing
Blind separation of instantaneous mixtures of nonstationary sources

IEEE Transactions on Signal Processing
Frequency domain blind MIMO system identification based on second and higher order statistics

IEEE Transactions on Signal Processing
A subspace algorithm for certain blind identification problems

IEEE Transactions on Information Theory
Column-anchored zeroforcing blind equalization for multiuser wireless FIR channels

IEEE Journal on Selected Areas in Communications

Blind MIMO-AR system identification and source separation with finite-alphabet

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a new statistical approach to the blind estimation of linear multiple-input multiple-output (MIMO) channels with finite impulse response. A matrix pencil is constructed from a set of fourth-order cumulant matrices of the channel output signals. The MIMO channel impulse responses can then be efficiently estimated from the generalized eigendecomposition of this cumulant matrix pencil. Random weighting is applied in the matrix pencil construction to improve the reliability of the algorithm. The proposed new method requires a relaxed channel identifiability condition and is robust in the sense that it does not require the exact knowledge of the MIMO channel order.