Title :
Polynomial matrix whitening and application to the multichannel blind deconvolution problem
Author :
Lambert, Russell H. ; Nikias, Chrysostomos L.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
A method for whitening a polynomial matrix is described, including the calculation of the eigenvalue polynomials and eigenvector polynomials of an FIR polynomial matrix. The multichannel blind deconvolution problem is briefly described and FIR polynomial matrix whitening is applied to the problem. Benefits of the whitening technique are demonstrated through simulation. Data prewhitening or the use of an exact least squares adaptation is necessary in any problem of moderate complexity. The group theoretic aspects of FIR polynomial matrix algebra are discussed
Keywords :
FIR filters; deconvolution; eigenvalues and eigenfunctions; filtering theory; group theory; least squares approximations; polynomial matrices; FIR polynomial matrix; data prewhitening; eigenvalue polynomials; eigenvector polynomials; group theoretic aspects; least squares adaptation; matrix algebra; multichannel blind deconvolution problem; polynomial matrix whitening; simulation; Deconvolution; Eigenvalues and eigenfunctions; Equalizers; Finite impulse response filter; Least squares approximation; Linear systems; Matrices; Nonlinear filters; Polynomials; Wiener filter;
Conference_Titel :
Military Communications Conference, 1995. MILCOM '95, Conference Record, IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-2489-7
DOI :
10.1109/MILCOM.1995.483616